29 structures-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in France
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, or environmental history Experience with structured data environments or digital humanities infrastructure Language Requirements: Applicants must demonstrate at least B2-level proficiency in
-
Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
and calcium release. However, links between mechanical stresses and LA structure, function, and hemodynamics remain unclear, as does the impact of myocardial fibrosis on LA hemodynamics and
-
rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing a structured system for AI-assisted mathematical research, applied
-
data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
-
, clinical, structural bioinformatics, other biomedical data. It should be outlined in the CV Demonstrated skills and knowledge in omics data analysis, biostatistics, machine learning, pathway and network
-
will be supervised by Christophe Eloy (IRPHE, Centrale Méditerranée), whose work spans fluid-structure interactions and reinforcement learning, Laetitia Giraldi (Calisto, INRIA), an expert in
-
publications in bioinformatics analysis of large-scale biomedical data, e.g., omics, clinical, structural bioinformatics, other biomedical data, should be outlined in the CV Demonstrated skills and knowledge in
-
role The successful candidate will pursue postdoctoral research in group actions, geometric structures, and smooth dynamics in the research group of Prof. K. Melnick, within the Department of Mathematics
-
role Research in the general domain of stochastic analysis, with special focus on stochastic geometry, such as random fields, random graphs and related structures, limit theorems, stochastic calculus and
-
structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption