31 Statistics positions in paris

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

PhD (M/F): Simulation of electrode/electrolyte interfaces for divalent ion batteries

in molecular simulation is desirable, as well as a good knowledge of associated theoretical tools (statistical physics, etc.; programming experience including: Python, Fortran, C, C++, etc.). A good

Postdoctoral Position in Systems Biology of Cancer Group Machine learning for multi-modal cancer data analysis (M/F)

with a strong background in statistics, machine learning, computational systems, biology or physics. The successful candidate should have experience in high-throughput data analysis in biology. Ideally

Postdoc on the Maturation on Neural Circuits in Fish (M/F)

the development of Danionella fish. Activity (and possibly behavioral) recordings will be combined with computational approaches combining statistical physics and machine learning to track the evolution

Postdoc on massive diversity generation: from evolution to design (M/F)

Eligibility criteria - advanced level in statistical physics/out-of-equilibrium processes - basic knowledges in bioinformatics Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023

Postdoctoral position in biophysics of horizontal gene transfer and phage infections in microbial communities

eliminate target species from the community. The prospective postdoc will address these topics through developing theoretical models that combine techniques from ecology, evolution and statistical physics

Research assistant

/Qualifications Responsibilities: Assist with research experiments, including recruitment and scheduling of participants; Conduct EEG data acquisition and analysis; Data management and statistical analysis using

54 months position for Ingénieur⋅e d'Études/Lead Research Technician: Haplotagging for the study of genetic architecture of complex traits

of adaptive traits. For this, we require an accurate knowledge of the statistical distribution of the effects of the genes (or QTL, for Quantitative Trait Loci) on the phenotype, or the “genetic architecture

Proposal of MSCA Postdoctoral Fellowship in the areas of soft matter

interdisciplinary training in soft matter, non-linear physics, biology and statistical physics. The proposed research and training programme will focus on the study of smart composite materials to address

PhD student (M/F) in phonetics/phonology and neuro-linguistics

, or natural language processing - Programming skills (e.g., Python, Matlab, JavaScript) - Knowledge of statistical analyses (R) Desired assets: - Experience with EEG - Experience with online testing