Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- CEA
- Institut Pasteur
- Mediterranean Institute of Oceanography
- Inria, the French national research institute for the digital sciences
- UNIVERSITE PARIS CITE
- Université de Bordeaux
- Université de Montpellier
- Aix-Marseille Université
- American University of Paris;
- Arts et Métiers Institute of Technology (ENSAM)
- BRGM
- CEA-Saclay
- CPPM
- Ecole Centrale de Lyon
- FEMTO-ST institute
- French National Research Institute for Sustainable Development
- Grenoble INP - Institute of Engineering
- Géoazur laboratory
- ICB - UMR 6303 - Laboratoire Interdiciplinaire Carnot de Bourgogne
- IMT MINES ALES
- IRISA
- Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat
- Le Mans Université
- Nantes Université
- Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085)
- The American University of Paris
- UNIVERSITE ANGERS
- Universite de Montpellier
- University of Paris-Saclay
- Université Grenoble Alpes
- Université Paris-Saclay (UPS)
- Université Savoie Mont Blanc
- Université d'Artois
- Université d'Orléans
- Université de Caen Normandie
- Université de Picardie - Jules Verne
- Université de Strasbourg
- École nationale des ponts et chaussées
- 30 more »
- « less
-
Field
-
group: MARIANNE (https://team.inria.fr/marianne/). The MARIANNE project-team pursues high-impact research in Artificial Intelligence with a focus on data and models for computational argumentation in
-
, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular
-
within a coherent computational model is currently challenging, due to the typical large dimension and complexity of biomedical data, and the relative low sample size available in typical clinical studies
-
competitive selection (SELEX), starting from artificial libraries of large numbers (~10^15) of distinct sequences. When the experiment succeeds, variants that perform the selected function well are enriched
-
transcriptomics) opens new research horizons on cancer pathologies. These data, of very large dimensions and volume, bring new methodological challenges in terms of statistical and mathematical analysis, as
-
will benefit from a first-class environment at CEA LIST with access to a large number of reference tools and a strong experience in design and analysis of secure systems, in particular against fault
-
the Research Facilitator team and the FSTM's financial controllers to provide consistent, strategic project support Further information: Please contact the team leader of the Research Facilitators team, Your
-
techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
-
the analysis of large-scale health data, to systematically integrate evidence and identify patterns across diverse health outcomes. The ideal candidate will bring a proven interdisciplinary background
-
, IRCAN, ISA). His/her group will leverage large-scale, high-dimensional datasets—such as genomics, transcriptomics, proteomics, imaging, or single-cell data—to uncover fundamental biological mechanisms. We