<menuitem id="5kni3"></menuitem>
      <bdo id="5kni3"></bdo>

          <nobr id="5kni3"></nobr>
            <tbody id="5kni3"></tbody>

            <track id="5kni3"><span id="5kni3"></span></track>
            <track id="5kni3"><div id="5kni3"><address id="5kni3"></address></div></track>
              您的位置: 主頁 > 博士后招聘 > 海外博士后招聘 >

              法國艾克斯&#8729;馬塞大學神經科學系統研究所博士后職位

              來 源:科學人才網
              發布時間:2022-04-27

              Position In Brain Stimulation/Clinical Trial Expert

              Universities And Institutes Of France

              Description

              Organisation/Company: Institut de Neurosciences des Systèmes (INS)

              Research Field: Neurosciences › Neuropsychology

              Researcher Profile: First Stage Researcher (R1)

              Application Deadline: 30/04/2022 10:00 - Europe/Brussels

              Location: France › Marseille

              Type Of Contract: Temporary

              Job Status: Full-time

              Hours Per Week: 40

              Offer Starting Date: 15/05/2022

              Postdoc in machine learning/brain stimulation/TVB

              A postdoc position is available at the Institut de Neurosciences des Systèmes (https:// ins-amu.fr/), Aix-Marseille University, France

              Summary : The Theoretical Neuroscience Group (Head: Viktor Jirsa) is seeking to fill a post-doctoral position in the context of the Human Brain Project (HBP) to work on development of parameter inference workflows for connectome-based large-scale brain network models (see The Virtual Brain https:// www. thevirtualbrain.org) applied to brain imaging data (EEG, MEG, fMRI). In particular, the project will involve the application and evaluation of Bayesian estimation techniques such as Markov-Chain Monte-Carlo and Hamiltonian Monte-Carlo algorithms to high-dimensional biophysical and phenomenological time-series models based on ODE/SDE involving latent state- space variables. These were previously successfully applied in the context of estimation of brain excitability based on personalized brain models and SEEG recordings of seizure propagation in epileptic patients. The project requires inverting the in-vitro and in-vivo datasets in Bayesian setup for brain network models and providing posterior distributions of the inferred parameters. The issues of degeneracy in the models based on the posterior estimates will also be addressed using the state-of-the-art Bayesian inference techniques.The successful candidate will join a team working towards generalizing these approaches for other paradigms such as stimulation, resting state and aging.

              Qualification : Candidates should have a strong background in data fitting  (Bayesian inference approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques). Experience with computational neuroscience (networks, dynamic system theory)

              and ability to program in Probabilistic programming languages such as Stan, Turing etc will be preferred. The candidate should have some experience in working with R/Python/MATLAB/Julia.

              The Theoretical Neuroscience Group : We are a multi-national and interdisciplinary team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging.

              Benefits

              NA

              Eligibility criteria

              NA

              Selection process

              NA

              Additional comments

              NA

              Offer Requirements

              REQUIRED LANGUAGES

              FRENCH: Excellent

              Skills/Qualifications

              Candidates should have a strong background in data fitting (Bayesian inference approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques).

              Specific Requirements

              Experience with computational neuroscience (networks, dynamic system theory)and ability to program in Probabilistic programming languages such as Stan, Turing etc will be preferred. The candidate should have some experience in working with R/Python/MATLAB/Julia.

              Contact Information

              Organisation/Company: Institut de Neurosciences des Systèmes (INS)

              Department: TNG

              Organisation Type: Higher Education Institute

              Website: https:// ins.univ-amu.fr/

              E-Mail: lisa.otten@univ-amu.fr

              Country: France

              City: MARSEILLE

              State/Province: PACA

              Postal Code: 13005

              Street: 27 Boulevard Jean Moulin

              關注微信公眾號
              男人一般硬起来有多粗

                  <menuitem id="5kni3"></menuitem>
                  <bdo id="5kni3"></bdo>

                      <nobr id="5kni3"></nobr>
                        <tbody id="5kni3"></tbody>

                        <track id="5kni3"><span id="5kni3"></span></track>
                        <track id="5kni3"><div id="5kni3"><address id="5kni3"></address></div></track>