Sort by
Refine Your Search
-
Category
-
Employer
- CNRS
- Institut Pasteur
- Grenoble INP - Institute of Engineering
- Inria, the French national research institute for the digital sciences
- University of Luxembourg
- Université Grenoble Alpes
- CEA
- French National Institute for Health Research (INSERM)
- IMT Mines Ales
- INSERM
- Télécom Paris
- Universite de Montpellier
- Université de Caen Normandie
- CEA-Saclay
- CNRS-LMA
- CY Cergy Paris Université
- DI ENS
- ENS
- European Synchrotron Radiation Facility
- IMT Nord Europe
- INSA Rouen Normandie
- Institut de l'Audition/Institut Pasteur
- Le Mans Université
- Luxembourg Institute of Health (LIH)
- Nantes Université
- Sorbonne Université
- University of Caen Normandie
- Université Bourgogne Franche-Comté
- Université Paris Cité
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Limoges
- Université de Reims Champagne Ardenne
- 23 more »
- « less
-
Field
-
modelling and partial differential equations; • an understanding of Carleman linearisation approaches and/or the Koopman–von Neumann formulation; • the ability to develop and analyse numerical methods
-
intelligence and large language models for data analysis, and bioscientific programming. The candidate should have experience in the analysis of large-scale biomedical data, e.g.: omics or clinical data, using
-
dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
-
, within the framework of its transition to an Inclusive Learning Unit model. The recruited postdoctoral researcher will join the scientific consortium, which includes the "Health, Physical Activity, and
-
Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and
-
researcher will study the feasibility of producing porous foams from fibrous waste and evaluate their performance. Based on model formulations developed from commercially available recycled fibres, they will
-
chemistry, heterogeneous catalysis, electrical and thermal engineering, Multiphysics modelling, process engineering), along with a major industrial partner totalEnergies. Objective: To design, formulate
-
models, flow cytometry, confocal microscopy and unbiased approaches such as single cells transcriptomics, spatial transcriptomics and epigenetics to characterize molecular and cellular mechanisms. Using
-
interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address
-
in modelling and fluid dynamics simulation (COMSOL Multiphysics or equivalent) is an asset. Acquisition, processing, analysis, and interpretation of complex multi-signal experimental data