72 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral research jobs in France
Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Nature Careers
- Institut Pasteur
- CEA
- Université Savoie Mont Blanc
- CNRS-ENS-UCBL
- European Magnetism Association EMA
- Inria, the French national research institute for the digital sciences
- Inserm
- UNIVERSITE PARIS CITE
- ASNR
- BRGM
- CEA-Saclay
- Grenoble INP - Institute of Engineering
- Le Mans Université
- SORBONNE UNIVERSITE
- Universite de Montpellier
- University of Montpellier
- Université Bourgogne Europe
- Université Côte d'Azur
- Université Grenoble Alpes
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- 12 more »
- « less
-
Field
-
to the comprehensive analysis of field samples and the mathematical modeling of cellular interactions. LPHI includes four teams working on parasite models (Toxoplasma and Plasmodium), thus offering a stimulating working
-
Job description We are recruiting postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The candidates will be expected
-
human stem cells for in vitro modeling of neurodegeneration disease. Projects in the lab are at the interface of systems biology and bio-medical research. In particular, we aim at developing novel
-
implementing innovative water accounting approaches on both the supply and demand sides. Main Mission: To develop, calibrate, and validate hydrological models (SWAT, MODFLOW) for two watersheds in Morocco in
-
an atomistic model of the electrode/electrolyte interface in the batteries developed by ITEN, at the anode and at the cathode. Both electrodes are based on lithium-based transition metal oxides. The development
-
) and Aurélien Quiquet from the Laboratoire des Sciences du Climat et Environnement (LSCE), an expert of the GRISLI model, in interaction with the PhD student on the ANR Delta project (coordinated by Y
-
chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must have a PhD in computational chemistry, ideally in material and/or surface science. Experience in modelling
-
analyzing whole organism models (zebrafish and mouse) to dissect the pathophysiology of a recently identified rare pediatric neurometabolic disorder. The approach involves mainly deep longitudinal phenotyping
-
learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
-
for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science