Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : CNRS UMR 8256
Durée : 2 ans
Contact : christian.neri@inserm.fr
Date limite de publication : 2024-11-30

Contexte :
ANR project
Brain-C Lab, Institute of Biology Paris-Seine (IBPS), Paris
see http://www.ibps.upmc.fr/en/research/biological-adaptation-and-ageing/brainc

interested candidates should immediatly send a letter of motivation, a full CV and the names and emails of two-three references to christian.neri@inserm.fr and lucile.megret@sorbonne-universite.fr

Sujet :
A 2-year position is immediately available in the Brain-C Lab in Paris to address outstanding questions about the temporal and molecular dynamic of neurodegenerative disorders and define new therapeutic rationales for early-stage intervention in these disorders. The successful applicant will will use the machine learning methods available in BioGemix —our machine learning platform for biological precision in leveraging complex omics data— to analyze complex omics data obtained in models of amyotrophic lateral sclerosis (ALS) and compare resulting models to computational models of neurodegenerative disorders such as Huntington’s disease (HD). In collaboration with mathematicians and bioinformaticians inside and outside the team, The successful applicant will also have the possibility to develop innovative machine-learning approaches for modelling and simulating gene regulatory networks and for optimal target selection. This position is a unique opportunity to further develop expertise and skills in a multidisciplinary team and network of direct collaborators that cover systems modeling, cellular neurobiology and preclinical/clinical research.

Profil du candidat :
The candidates are expected to be highly-qualified and to have strong collaborative skills and commitment to team work along with strong ability to work independently, and to have track record of expertise & writing papers as demonstrated by publications and pre-prints. The position is full time and on site, and candidates should have less than 5 years of postdoctoral experience and a strong interest for research.

Formation et compétences requises :
Training and required skills:
Candidates should hold a Ph.D. in Informatics/Bioinformatics or Mathematics or Probability & Statistics or Physics. Candidates that hold a diploma from high-profile Engineer Schools (e.g. Ecole Polytechnique, Supelec, Centrale, EPFL, ETZ) are welcome to apply.
• Demonstrated experience and autonomy in probability and statistics for the analysis of complex datasets (probabilistic models, R)
• Data modeling skills, e.g. application of optimal transport and network inference concepts to omics data analysis.
• Good autonomy in machine programming (at least one of the following languages: Python, C/C++, Java).
• Skills in database management or web technologies (javascript, Php) are desirable but not mandatory.
• Knowledge of genome sciences and omics technologies will be a plus.

Adresse d’emploi :
Employment address:
IBPS, Campus de Jussieu
9 Quai St Bernard
75005 Paris – France

Document attaché : 202407161554_Annonce_bioinfo_poste_Postdoc_2024.pdf