23 Statistics "Wellcome Sanger Institute " PhD 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

PhD Estimate and field statistics for elasto-dissipative composite (M/F)

stresses. Scientific objectives : This thesis is part of Axis 2 of the project, which aims to propose a mean-field method for estimating the effective properties and statistical fluctuations of local fields

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

(M/F) PhD in Study of the Impact of Extreme "Dry" Events on Energy Systems in France in Current and Future Climates Using Simulations and Rare Event Scenarios.

. Required skills include data analysis, proficiency in statistical and computer tools, climate modeling, risk modeling, and literature research. In terms of soft skills, autonomy, critical thinking

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

PhD thesis in probability (M/F)

analysis and models of statistical mechanics among the laboratory. The thesis will lie in probability, more specifically at the crossroads of stochastic analysis and models of random interfaces. We will

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

PhD in Molecular Modeling of Gas Hydrates (M/F)

, angle distributions, crystallinity descriptors, diffusion coefficients, dissociation statistics, energy data and to provide phase diagrams comparable to experimental data. Finally, the addition of gas

PhD student (M/F) - Solidification of plaster foams: rheology and structure

to follow the corresponding chemical reaction, 2) rheology to follow the change in mechanical properties (elastic modulus and yield stress) and 3) video imaging to characterize the foam structure (statistics

PhD student in mathematical physics (M/F)

[4]. The total cross sections can be mapped to the statistics of the extreme values of this process [4]. The genealogies of extreme particles [5], the detailed study of which is the subject of this