Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Nature Careers
- Institut Pasteur
- IMT - Atlantique
- Universite de Montpellier
- CEA
- CEA-Saclay
- Centrale Nantes
- INSA Strasbourg
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Inria, the French national research institute for the digital sciences
- Inserm/IMRB
- Institut des Hautes Études Scientifiques
- Nantes Université
- Université Côte d'Azur
- Université de Bordeaux / University of Bordeaux
- Université de Strasbourg
- 7 more »
- « less
-
Field
-
Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
-
-France F-91440, France [map ] Subject Area: Theoretical Physics / Mathematical physics Appl Deadline: 2025/12/10 11:59PM (posted 2025/10/21, listed until 2025/12/31) Position Description: Apply Today is
-
, as well as single cell datasets) already generated within the laboratory, with the aim of extracting novel biological insights through advanced computational approaches. Working environment
-
of Paris, which contains state of-the-art facilities and a highly collaborative research environment with 13 Departments across Biology/Physics/Biomedical fields. Recent publications of the lab: PDGFRα
-
to better represent hydrogen demand flexibility in both models; implement the required changes in ANTARES (b) Analyse and interpret model results - Process and analyse the outcomes of the models developed in
-
the newly formed unit Physics of Biological Function of biophysicist Thomas Gregor. We are interested in the following topics: Precision and reproducibility of developmental processes Collective properties
-
benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in