46 structures "https:" "https:" "https:" "https:" "https:" "Robert Gordon University" positions at Nature Careers in France
Sort by
Refine Your Search
-
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
-
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
-
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
-
sustainability transitions Proficiency in qualitative research methods, e.g. semi-structured interviews, focus groups, stakeholder mapping Strong teamwork skills, scientific curiosity and a high level of intrinsic
-
Interest in contributing to interdisciplinary research Capacity to mentor young researchers and structure emerging research initiatives Leadership and management experience, including the ability
-
, execution-focused team. Key responsabilities: Lead experimental R&D on advanced material systems for thermal sensing devices Use modelling and structured experimentation to select and converge on top