67 "and Statistics" positions at CNRS

PhD in mathematics in the domain of statistical physics M/F

Jordan laboratory, UMR CNRS 5208, in Villeurbanne (Université Claude Bernard Lyon 1). He will be a member of the Statistical Probability and Mathematical Physics team and will participate in

M/W postdoctoral fellowship in molecular simulations, machine learning, and statistical mechanics

2 May 2024 Job Information Organisation/Company CNRS Research Field Physics » Biophysics Physics » Statistical physics Chemistry » Computational chemistry Researcher Profile Recognised Researcher

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

Researcher in " Spatial High-resolution Climate Downscaling through Generative Machine Learning" (M/F)

The development of statistical/machine learning approaches for downscaling at the kilometer scale will be the main mission of the position. For various climate variables (temperature, precipitation, wind, etc

PhD position on physics of neuroscience M/F

into zebrafish tail motion, so behavior.We will explore different methods of quantifying casual information transmission that link neural encoding and zebrafish behavior. We will look for statistical signatures

Post Doctoral study on the primary damage of FeNiCr alloys M/F

, phase stability, characteristics of basic defects: vacancies and self-interstitials (energy of formation and migration). - Use statistical tools to study the impact of composition and potential

M/F PhD student in particle physics

the first two years of data collection. The use of advanced statistical methods is essential to analyze the spectrum with the required precision. The development of these methods began at Subatech using a

Description cinétique des systèmes anisotropes : stabilité et récupération de l'isotropie M/F

mechanics and numerical methods. A good general knowledge of statistical physics and mathematical methods for physics will be appreciated. Additionally, the postdoc researcher will gain knowledge in high

Postdoctoral Researcher in Cognitive Neuroscience and Technology (M/F)

language processing (NLP) skills; - Solid data science foundations; - Ability to use statistical software applications (R and Python are mandatory) to develop analytical tools and predictive models; - System