亚洲无码午夜福利视频|日韩国产高清一区二区|欧美老熟妇XB水多毛多|狠狠色成人一区二区三区|在线观看国产精品露脸网站|在线观看一区二区三区视频|激情性无码视频在线观看动漫|99国产精品久久久久久久成人

您的位置:中國博士人才網(wǎng) > 博士后招收 > 海外博士后招收 > 法國艾克斯∙馬塞大學神經(jīng)科學系統(tǒng)研究所博士后職位

關注微信

法國艾克斯∙馬塞大學神經(jīng)科學系統(tǒng)研究所博士后職位

時間:2022-04-27來源:中國博士人才網(wǎng) 作者:佚名

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

為防止簡歷投遞丟失請抄送一份至:boshijob@126.com(郵件標題格式:應聘職位名稱+姓名+學歷+專業(yè)+中國博士人才網(wǎng))

中國-博士人才網(wǎng)發(fā)布

聲明提示:凡本網(wǎng)注明“來源:XXX”的文/圖等稿件,本網(wǎng)轉(zhuǎn)載出于傳遞更多信息及方便產(chǎn)業(yè)探討之目的,并不意味著本站贊同其觀點或證實其內(nèi)容的真實性,文章內(nèi)容僅供參考。