63 statistics positions at CNRS in France

postdoc in statistical biophysics M/F

will work on the construction of statistical physics models applied to biological systems. They will test them on biological data from several systems in collaboration with our experimental colleagues

M/F: PhD student : Statistical learning for the observation and modelling of displacements using aerial images

or Statistics or Business Intelligence, or Artificial Learning and Intelligence, or Signal Processing. o Skills in software development and databases. o Good general scientific background, particularly in

Statistical analysis of seismicity (M/F)

insights into the statistics of seismicity. It is also likely to have an impact on current seismic hazard practices. Supervision The supervisory team will be made up of S. Durand (LGL-TPE, Chargée de

Statistical Physics and Artificial Intelligence M/F

corresponds to this strategy and to the development of new tools and concepts in statistical physics, enabling to ameliorate the understanding and numerical simulation of physical systems and also to better

M/F Postdoctoral Offer in Statistical and Computational Learning

neurodegenerative diseases such as Alzheimer's disease using multimodal data from large databases. Statistical learning methods applied to the data will help identify multimodal phenotypes of the considered

Doctorat : apprentissage automatique sur un capteur éco-acoustique solaire (M/F)

, embedded systems, statistics, or AI; or hold an engineering degree in one of these areas. Below is the expected profile: 1. Scientific curiosity is paramount. 2. An ability to criticize, advance, and

PhD and postdoc openings: Theory of mechano-genetic interactions in stem cell aggregates

3 Apr 2024 Job Information Organisation/Company CNRS Department Center for Theoretical Physics Research Field Physics » Biophysics Physics » Statistical physics Mathematics » Applied mathematics

M/F Thesis in mathematics : Extended discrete polytopal complexes: design and analysis

of Mathematics (DEMA), Probability and Statistics (EPS), and Geometry, Topology, and Algebra (GTA). Discrete polytopal complexes are recent numerical methods, whose purpose is to design approximations of partial

Post-doc position on AI-augmented boundary plasma modelling for turbulent transport simulations in WEST and ITER tokamak (M/F)

physics or computer science, with a solid background in AI/machine learning techniques. A background in plasma transport phenomena as well as an experience with data analysis, statistical methods, and

M/F Postdoctoral researcher in numeric analysis and scientific computing – ERC NEMESIS

Scientific Computing(ACSIOM), Didactics and Epistemology of Mathematics (DEMA), Probability and Statistics (EPS), and Geometry, Topology, and Algebra (GTA). Requirements Research FieldMathematicsEducation