Scholarships & Thesis Info and Update: November 2020

Sunday, November 22, 2020

[beasiswa] [info] PhD Position in Decision Neuroscience at Erasmus University

---------- Forwarded message ---------
From: Maarten A.S. Boksem
Date: Sun, 22 Nov 2020 at 17:21

At the Erasmus Center for Neuroeconomics
<https://urldefense.com/v3/__https://www.erim.eur.nl/neuroeconomics/__;!!Mih3wA!WsvOq232Zw3R1h_2XK5O0Cn8hdaif0rVe3vp04-H4PYkLNhGfS226PRe5VTtTynTt8lrpw$ > we seek outstanding applicants
whose research interests lie at the intersection of psychology, economics,
marketing and neuroscience and who are interested in studying the brain
mechanisms that underlie judgement and decision-making. Particular
interests of our group are the neural underpinnings of persuasive
messaging, social influences on choice, the role of affect in
decision-making and (dis)honesty. In particular, we focus on linking neural
measures obtained from individuals to real market-level choice data.
However, candidates have a large say in the precise focus of their project.

Experience with EEG and/or fMRI is required for this position. Applicants
who would be interested in applying neural data analysis to study
(real-world) choice behaviour are particularly encouraged to apply.

Experience or interest in more advanced fMRI methods, such as multi-voxel
pattern analysis (MVPA), representational similarity analysis (RSA),
classification algorithms, prediction models, or multivariate approaches to
EEG data analyses is a definite plus. However, candidates with a less
technical focus and a more general interest in how neuroscience can inform
decision-making are also encouraged to apply.

In addition to fMRI and EEG, we make use of eye-tracking, facial coding,
and behavioural measures in our research.

Interested candidates can apply through the ERIM website
<https://urldefense.com/v3/__https://www.erim.eur.nl/doctoral-programme/phd-in-management/phd-vacancies/doctoral-research-in-marketing/__;!!Mih3wA!WsvOq232Zw3R1h_2XK5O0Cn8hdaif0rVe3vp04-H4PYkLNhGfS226PRe5VTtTymyAJBnJA$ >.
Application deadline January 15, 2021. For more information about this
position, please contact Ale Smidts (asmidts'at'rsm.nl), Maarten Boksem
(mboksem'at'rsm.nl), or Alex Genevsky (genevsky'at'rsm.nl).
____________________________________________

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Tuesday, November 17, 2020

[beasiswa] [info] Medical Research Foundation Hearing Research Fellowships, Nottingham, U.K.

The former MRC Institute of Hearing Research was left a considerable amount of money for hearing research in Nottingham. We've gained permission from the Trustees (Medical Research Foundation) to use this money to fund two prestigious research fellowships here. I've attached the advert below. Please forward it widely to anybody who think could be interested!

The website for the advert & details is

https://www.nottingham.ac.uk/jobs/currentvacancies/ref/MED1578

Many thanks

Michael

================================================================

We are proud to announce that we are recruiting two Medical Research Foundation Hearing Research Fellowships

Expressions of Interest: Jan 15, 2021

Full applications: March 26, 2021

We are recruiting two prestigious Hearing Research Fellows to be based at the Hearing Sciences Section in the Division of Clinical Neurosciences, School of Medicine, University of Nottingham, United Kingdom. They are funded by the Medical Research Foundation (www.medicalresearchfoundation.org.uk).

These three-year fellowships are targeted at exceptional postdoctoral researchers in the field of Hearing Sciences whose overall research purpose is to improve the prediction of individual outcomes for people suffering from hearing loss or tinnitus (please see Further Information for more details).

Research fellowships are a fundamental part of the University of Nottingham's mission for the delivery of exceptional research that changes lives in the UK and across the world. As one of our fellows, you will enhance our diverse, thriving community of outstanding early career researchers. You will join a University with an international reputation for transformative discoveries and you will:

Take a prestigious first step into an independent research career
Receive three year's research funding, including full salary and generous support funding.
The time and resources to develop your own innovative research programmes
Support from both the University and the Medical Research Foundation

You will be the research lead for your own work, and encouraged to integrate with one of our main research groups.

We offer:

Our excellent support includes:

Three years' independent research funding, covering salary costs at c.£39,000-£48,000 (R&T Level 5 within the University).
Membership of the School of Medicine Fellowship programme which supports members considering or applying for permanent academic positions.
Inclusion in the Medical Research Foundation's Package of Support for Fellows, which includes access to MRC training events and symposiums for Fellows, the opportunity to participate in the Academy of Medical Sciences Mentoring Scheme, and access to further funding schemes in public engagement and policy and practice dissemination
Additional funding for research support (estimated at between £75,000 and £100,000).
Mentoring by a senior member of academic staff in Hearing Sciences.
Access to support, career development and networking with the wider fellowship communities of Nottingham and the Medical Research Foundation.

We support applicants from diverse career paths and backgrounds. We also welcome applications from those wishing to work part-time to meet personal responsibilities.

Eligibility: Candidates must have been awarded their PhD prior to 24^th December 2020 with it being in experimental auditory research or a relevant area. This scheme is aimed at early career researchers, and candidates who do not normally have more than eight years of postdoctoral experience. However, to allow for varied career paths, candidates will be assessed on their quality, potential and track record, relative to their career stage.

How to apply:

Submit an expression of interest, by completing the downloadable EOI application form and attaching your publication list, to Charlotte Lloyd (Charlotte.Lloyd@nottingham.ac.uk), by 12.00 midday on Friday 15th January 2021. We will contact applicants who we wish to proceed to the full application stage shortly thereafter.
Once you have been invited to submit a full application, apply online, completing the short form and uploading a more detailed project proposal.

EOI deadline 15^th Jan 2021, full application deadline 26^th March 2021. Interviews are expected to be held for shortlisted applicants in April 2021 with an expected start date for successful fellows in Summer/Autumn 2021.

Please note, this is a two-step application process. Candidates who do not submit an initial expression of interest form by the deadline will not be considered.

Please direct any administrative queries to Charlotte Lloyd (Charlotte.Lloyd@nottingham.ac.uk) and scientific queries to Professor Michael Akeroyd (Michael.Akeroyd@nottingham.ac.uk).

Michael A Akeroyd

Professor of Hearing Sciences

Hearing Sciences, Division of Clinical Neurosciences, School of Medicine

michael.akeroyd@nottingham.ac.uk

__._,_.___

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Saturday, November 7, 2020

[beasiswa] [info] Graduate Student Opportunities at UC Irvine

---------- Forwarded message ---------
From: Ramesh Srinivasan <srinivar@uci.edu>
Date: Fri, 6 Nov 2020 at 21:25

Hi all -

I wanted to let any undergrads on this list, or in your labs, know that my
lab (hnl.ss.uci.edu) is looking for graduate students for two projects:

(1) Neurocognitive Models of Decision Making. This project seeks to
develop computational models of perceptual decision making that incorporate
single-trial EEG analysis. This project is a collaboration with Prof.
Joachim Vandekerckhove.

(2) Simulating and Modeling EEG/MEG/ functional connectivity. This project
seeks to make use of modern statistical tools to integrate structural
connectivity and generative models of brain dynamics to EEG/MEG functional
connectivity.

Potential students can get more information, as well as apply at
apply..cogs.ci. The application deadline is Dec 1.

Information about our PhD program can also be obtained here:
https://urldefense.com/v3/__https://www.cogsci.uci.edu/graduate/requirements.php__;!!Mih3wA!XyuWwKw2DwJ9IoQLuBnZ5gtUQlkJ1W7xaIS77JOnzBjH3Ne83siY177zv7G_dBWEaO9AXQ$

Applicants might be particularly interested in our joint program with the
Department of Statistics.

Applicants should have strong mathematical and computer programming skills,
as well as good communication skills.

Successful applicants will receive funding toward their Ph.D. for at least
5 years.

One of the important goals in my laboratory and in our department is to
recruit a diverse group of graduate students not only in terms of race or
gender, but also in terms of socioeconomic background, experience, and
viewpoints. I welcome all inquiries and applications.

If you have any questions, please reach out to me.

Ramesh Srinivasan
Professor and Chair
Department of Cognitive Sciences

__._,_.___

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[beasiswa] [info] Postdoc in Machine Learning Methods for Real-Time Artefact Rejection in EEG Data

---------- Forwarded message ---------
From: Tobias Andersen <toban@dtu.dk>
Date: Fri, 6 Nov 2020 at 21:25

The Technical University of Denmark invites applicants for a two-year Postdoc position in machine learning for artifact classification in EEG data. The position should be filled by 1 December, but the needs of the candidate will be taken into account in this regard.

Around 50 million people worldwide have epilepsy and ~80% live in low and middle-income countries (LMICs). An electroencephalogram (EEG) is the gold standard to confirm epilepsy diagnosis; however many LMIC regions have no access to such tool, so 75% of their patients are not treated. Current EEG devices cannot serve this market due to high costs, lack of specialists and stable grid power. We want to build EEG services tailored to the needs and available resources in LMICs by developing inexpensive mobile-based EEG equipment and AI enhanced epilepsy tele-neurodiagnostic services for use by inexperienced EEG operators.

The quality of EEG recordings is influenced by several factors: the quality of the recording device, the impedance between the electrode and the scalp and non-neural artefactual signal components caused mainly by eye-movements, eye-blinks and contraction of head muscles. The occurrence of these non-neural artefacts is difficult to estimate online especially for an inexperienced operator and requires continuous monitoring of the recorded signal. In order to aid the inexperienced operator, we will develop an online, near real-time quality control (QC) algorithm based on our previous work. The QC algorithm will feed into a front end that supplies the operator with the magnitude of each type of artefact and, importantly, whether the amount is critical for the quality of the data.

Responsibilities and tasks
Your role in the project is to develop, implement and test the QC algorithm. The development will take into account that the QC algorithm will be implemented on an inexpensive platform with limited processing power. The implementation should consist of well-organised and documented code that can be used by the other partners in the project. Testing the algorithm will include technical tests as well as user tests with inexperienced EEG operators.

The project is funded by the Eurostars program and you will join a collaborative effort between DTU Compute, The Epilepsy Hospital Filadelfia (https://urldefense.com/v3/__http://www.filadelfia.dk/en__;!!Mih3wA!R-MoeQ1rznewrCn8K0SioOhRR4snCvSQpu7m8Supv_ppLCjviQi-xhzWyracfkDd-9b1tA$ ) as well as two private companies, Brain Capture (https://urldefense.com/v3/__https://braincapture.dk/__;!!Mih3wA!R-MoeQ1rznewrCn8K0SioOhRR4snCvSQpu7m8Supv_ppLCjviQi-xhzWyracfkBD6UBRZA$ ) and Epilog (https://urldefense.com/v3/__https://www.epilog.care/__;!!Mih3wA!R-MoeQ1rznewrCn8K0SioOhRR4snCvSQpu7m8Supv_ppLCjviQi-xhzWyracfkBlJFS95g$ ).

Qualifications
The right candidate will have a PhD degree, submitted a PhD thesis for defence or equivalent.
Programming experience and experience with applied machine learning are essential qualifications. Experience in working with EEG data and user tests will also be useful but these skills can be acquired during the project.
It is important that your are interested in working at the interface between applied technical science and business development. It is also important that you are motivated by the idea of using applied machine learning to make a difference in the health care available to people living in low and middle income countries.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 18 months.
You can read more about career paths at DTU here<https://urldefense.com/v3/__http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths__;!!Mih3wA!R-MoeQ1rznewrCn8K0SioOhRR4snCvSQpu7m8Supv_ppLCjviQi-xhzWyracfkDCyapZCw$ >.

Application procedure
To apply, please read the full job advertisement at https://urldefense.com/v3/__http://www.career.dtu.dk__;!!Mih3wA!R-MoeQ1rznewrCn8K0SioOhRR4snCvSQpu7m8Supv_ppLCjviQi-xhzWyracfkBjmlucBQ$ <https://urldefense.com/v3/__http://www.career.dtu.dk/__;!!Mih3wA!R-MoeQ1rznewrCn8K0SioOhRR4snCvSQpu7m8Supv_ppLCjviQi-xhzWyracfkBa8zlTAQ$ >
Application deadline: 15 November 2020.

Further information
Further information may be obtained from Associate Professor Tobias Andersen, toban@dtu.dk<mailto:toban@dtu.dk>

__._,_.___

Posted by: "Ignatius S. Condro Atmawan B." <saptocondro@googlemail.com>

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Tuesday, November 3, 2020

[beasiswa] [info] PhD in Ecoacoustics in London, UK

-------- Forwarded Message --------
Subject: PhD in ecoacoustic monitoring
Date: Mon, 26 Oct 2020 15:21:01 +0000
From: Picinali, Lorenzo <l.picinali@IMPERIAL.AC.UK>

Dear Colleagues,

apologies for cross-posting.

We are advertising a PhD Scholarship at Imperial College London for the
project *Assessing ecosystem resilience through the use of ecoacoustics.*
*
*
The PhD student will be involved in the SafeAcoustics project
(http://acoustics.safeproject.net/), which aims at applying cutting-edge
advances from the fields of engineering and machine learning to fully
automate biodiversity monitoring in the tropical forests of Borneo.
Recent publications on this work include:

https://www.pnas.org/content/early/2020/07/06/2004702117
https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13089

Attached you can find more detailed information about the proposed study.

Applications can be submitted until the 4th of January 2021. If
interested, please read carefully information about the funding and the
eligibility (especially if you are not UK citizen or UK resident) at the
following link:

https://www.imperial.ac.uk/grantham/education/science-and-solutions-for-a-changing-planet-dtp/studentship-opportunities/

For questions about the project, please do not hesitate to email me
(l.picinali@imperial.ac.uk).

Please share with who you believe might be interested!

Thanks

Best
Lorenzo

--
Dr Lorenzo Picinali
Reader in Audio Experience Design
Director of Undergraduate Studies
Dyson School of Design Engineering
Imperial College London
Dyson Building
Imperial College Road
South Kensington, SW7 2DB, London
T: 0044 (0)20 7594 8158
E: l.picinali@imperial.ac.uk
_
http://www.imperial.ac.uk/people/l.picinali_

www.imperial.ac.uk/design-engineering-school
<http://www.imperial.ac.uk/design-engineering-school>

__._,_.___

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Monday, November 2, 2020

[beasiswa] [info] Ph.D. Position in Cognitive Neuroscience (EEG), Vienna, Austria

---------- Forwarded message ---------
From: Pomper, Ulrich <u.pomper@ucl.ac.uk>
Date: Mon, 2 Nov 2020 at 17:12

The University of Vienna, Austria, is offering a

Ph.D. Position in Cognitive Neuroscience (EEG)

Job Description:

Applications are invited for a Ph.D. student (F/M/D) position at the Faculty of Psychology, University of Vienna, Austria. The successful candidate will use human EEG and behavioural measures to investigate neural mechanisms underlying auditory predictive processes.
The position is part of the Young Independent Researcher Group "Dynamates", working on dynamic auditory predictions in humans and marmoset monkeys. This interdisciplinary project combines computational modelling, cognitive neuroscience and cognitive biology to study how humans and monkeys use auditory information when making predictions about the future. For more details, please visit the Dynamates website<https://urldefense.com/v3/__https://www.kfs.oeaw.ac.at/index.php?option=com_content&view=article&id=1181:lang-en-yirg-dynamates-dynamic-auditory-predictions-in-human-an-non-human-primates-lang-lang-de-zk-dynamates-dynamiken-der-auditiven-praediktion-in-menschlichen-und-anderen-primaten-lang&catid=103&Itemid=768&lang=en__;!!Mih3wA!Umpv-icRqSILAWfQvFGqUfyoSE79Q0BpQVKSDhYlEpSKFG_GeRIN097HgrypJiU9Aqeuwg$ >. The Ph.D. student will also be part of the Vienna Doctoral School network CoBeNe<https://urldefense.com/v3/__https://vds-cobene.univie.ac.at/__;!!Mih3wA!Umpv-icRqSILAWfQvFGqUfyoSE79Q0BpQVKSDhYlEpSKFG_GeRIN097HgrypJiVQit3-ew$ >.

Responsibilities:

* Independently conduct human EEG and behavioural experiments (including designing and programming experiments, collecting and analysing the data)
* Communication of results in scientific publications and at scientific meetings
* Close collaboration with the other members of the project
* Co-supervision of MSc and BSc students

Profile:

* Master's degree or diploma in Psychology, Cognitive Science, Neuroscience or a related field
* Strong interest in EEG methodology, auditory perception and predictive processing
* Very good command of written and spoken English
* Experience with EEG or MEG signal processing and analysis is highly advantageous
* Strong statistical skills and experience with coding (e.g. Matlab, R, SPSS) are advantageous
* Flexibility, ability to work independently as well as in a scientific team are important

Application documents:

* Letter describing motivations, personal qualifications and research interest
* Academic CV including a list of publications and presentations
* Contact details of two referees

Extent of Employment:

We offer a part-time position (30h/week), initially limited to 3 years. The contract will be renewable for a fourth year if the candidate performs well. The position is available immediately. The annual gross salary is EUR 30,754.50 (before taxes, 14 payments a year) according to the collective agreement of the University of Vienna.

Applications, as well as informal inquiries and questions should be submitted to Dr. Ulrich Pomper (ulrich.pomper@univie.ac.at). Applications will be accepted until an adequate candidate has been found. The first round of evaluation will start on the 23.11.2020.

The University of Vienna pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (https://urldefense.com/v3/__http://diversity.univie.ac.at/__;!!Mih3wA!Umpv-icRqSILAWfQvFGqUfyoSE79Q0BpQVKSDhYlEpSKFG_GeRIN097HgrypJiW7uqcW8w$ ). The University lays special emphasis on increasing the number of women in academic positions. Given equal qualifications, preference will be given to female applicants.

_______________________________________________

__._,_.___

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[beasiswa] [info] Ph.D. Position in Cognitive Neuroscience (EEG), Vienna, Austria

-------- Forwarded Message --------
Subject: Ph.D. Position in Cognitive Neuroscience (EEG)
Date: Mon, 2 Nov 2020 11:04:21 +0100
From: Ulrich Pomper <ulrich.pomper@UNIVIE.AC.AT>

The University of Vienna, Austria, is offering a

*_Ph.D. Position in Cognitive Neuroscience (EEG)_*

*Job Description:*

Applications are invited for a Ph.D. student (F/M/D) position at the
Faculty of Psychology, University of Vienna. The successful candidate
will use human EEG and behavioural measures to investigate neural
mechanisms underlying auditory predictive processes.
The position is part of the Young Independent Researcher Group
"Dynamates", working on dynamic auditory predictions in humans and
marmoset monkeys. This interdisciplinary project combines computational
modelling, cognitive neuroscience and cognitive biology to study how
humans and monkeys use auditory information when making predictions
about the future. For more details, please visit the Dynamates website
<https://www.kfs.oeaw.ac.at/index.php?option=com_content&view=article&id=1181:lang-en-yirg-dynamates-dynamic-auditory-predictions-in-human-an-non-human-primates-lang-lang-de-zk-dynamates-dynamiken-der-auditiven-praediktion-in-menschlichen-und-anderen-primaten-lang&catid=103&Itemid=768&lang=en>.
The Ph.D. student will also be included in the Vienna Doctoral School
network CoBeNe <https://vds-cobene.univie.ac.at/>.

*Responsibilities:*

* Independently conduct human EEG and behavioural experiments
(including designing and programming experiments, collecting and
analysing the data)
* Communication of results in scientific publications and at
scientific meetings
* Close collaboration with the other members of the project
* Co-supervision of MSc and BSc students

*Profile:*

* Master's degree or diploma in Psychology, Cognitive Science,
Neuroscience or a related field
* Strong interest in EEG methodology, auditory perception and
predictive processing
* Very good command of written and spoken English
* Experience with EEG or MEG signal processing and analysis is highly
advantageous
* Strong statistical skills and experience with coding (e.g. Matlab,
R, SPSS) are advantageous
* Flexibility, ability to work independently as well as in a
scientific team are important

*Application documents:*

* Letter describing motivations, personal qualifications and research
interest
* Academic CV including a list of publications and presentations
* Contact details of two referees

* *

*Extent of Employment:*

We offer a part-time position (30h/week), initially limited to 3 years.
The contract will be renewable for a fourth year if the candidate
performs well. The position is available immediately. The annual gross
salary is EUR 30,754.50 (before taxes, 14 payments a year) according to
the collective agreement of the University of Vienna.

*Applications, as well as informal inquiries and questions should be
submitted to Dr. Ulrich Pomper (ulrich.pomper@univie.ac.at).*
Applications will be accepted until an adequate candidate has been
found. The first round of evaluation will start on the 23.11.2020.

The University of Vienna pursues a non-discriminatory employment policy
and values equal opportunities, as well as diversity
(http://diversity.univie.ac.at/). The University lays special emphasis
on increasing the number of women in academic positions. Given equal
qualifications, preference will be given to female applicants.

--
Dr. Ulrich Pomper

Department of Cognition, Emotion, and Methods in Psychology
University of Vienna
Liebiggasse 5
1010 Vienna
Austria

+43-1-4277-47149 <tel:+431-4277-47149>

ulrich.pomper@univie.ac.at <mailto:ulrich.pomper@univie.ac.at>

Researchgate <https://www.researchgate.net/profile/Ulrich_Pomper>

__._,_.___

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[beasiswa] [info] research assistant position, with a possibility to continue in PhD, Dynamic of Cognitive Processes

-------- Forwarded Message --------
Subject: research assistant position
Date: Fri, 30 Oct 2020 10:16:58 +0000
From: SCHON Daniele <daniele.schon@UNIV-AMU.FR>

Dear all,

A full-time *Research Assistant *(RA, Master's degree)*position* is
available under the supervision of Benjamin Morillon (scholar profile
<https://scholar.google.com/citations?user=lBwWtFUAAAAJ>) in the Dynamic
of Cognitive Processes group at the /Institut de Neurosciences des
Systèmes (INS)/, *Marseille, France* (https://ins-amu.fr/dcp).

The candidate will contribute to:

1- acquisition of behavioural data for a project investigating the
role of the motor system in auditory and speech perception. The
experiment follows-up on recent work from our group (Zalta et al., Nat.
Comm., 2020 <https://www.nature.com/articles/s41467-020-14888-8>) and
the group of David Poeppel (Assaneo et al., Nat. Hum. Bhv, 2020
<https://www.nature.com/articles/s41562-020-00962-0>).

2- analysis of intracranial EEG data, with methods of machine
learning (MVPA), to investigate hemispheric asymmetry during speech and
music processing. This study follows-up on our recent work in
collaboration with McGill U. (Albouy et al., Science, 2020
<https://science.sciencemag.org/content/367/6481/1043.abstract>).

Our group has excellent cohesion and is made up of about ten motivated
and caring people. The candidate will also benefit from the stimulating
scientific environment of Marseille area, our institute being part of a
larger interacting network of cognitive neuroscience labs
(https://www.ilcb.fr/). <https://www.ilcb.fr/>Finally, the candidate
will have the opportunity of enjoying a lively (should the pandemics
permit) and sunny city, ideally situated by the Mediterranean sea.

Candidates should have a master's degree in cognitive neuroscience or a
related field. Prior experience with psychophysics, neuroimaging,
machine learning and/or computational modelling will be valued. The
candidate will have to work with Python (or Matlab) and develop (or
consolidate) programming skills.

Financial support is provided by the French Ministry of Research. The
monthly net salary will be of approximately 1450€ (after tax imposition).

INITIAL APPOINTMENT: 9 months, with a possibility to continue in PhD in
September 2021 (depending on the outcome of the RA internship).

APPLICATION: Send a curriculum vitae and motivation letter
to bnmorillon@gmail.com <http://bnmorillon@gmail.com>. Informal
enquiries are welcome.

DEADLINE: until the position is filled

*STARTING DATE:* January 2021

thank you,

Benjamin Morillon, PhD

Inserm Researcher

INS - Aix-Marseille Université (France)

__._,_.___

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