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Field
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applications from candidates that hold a PhD in Physics or a related area. The successful candidate is expected to have an excellent background in soft matter physics, experience in programming (e.g., python, C
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candidate has experience in coding numerical solutions to partial differential equations via the finite element method / finite differences schemes and programming skills in Mathematica, Matlab, Python
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analysis and software skills (python and astropy) • teamwork abilities • fluent in English • Experience in data analysis in a neutrino experiment and in astronomy analysis in X-ray/gamma-ray observatories
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Programming skills (Matlab or Python) Good command of English (French is not required) Proven ability to write scientific articles and projects, and to give oral presentations Knowledge: Cognitive neuroscience
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, FISH, etc.) Knowledge: Good knowledge of genomics techniques (RNA extraction, qPCR, RNAseq, etc.) Basic knowledge of data analysis desirable but not required (R and/or Python) Strong writing and
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of experimental statistics, signal processing and excellent programming skills (eg Python, R, ...). Previous experience with model-based fMRI experiments, advanced multivariate data analysis and computational
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such as Python, R or Labview would be an asset. The ability to work in a team and a good command of English are required. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5629
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accelerator physics • Python (or C++, Fortran) coding • analytical skills • basis of data analysis • a high level of communication skills, both oral and written (French and English required) to be able
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). - Familiarity with omics (RNA-seq, single-cell, ATAC-seq, proteomics) and basic data analysis. Computational/bioinformatics (plus): Basic proficiency in R/Python for data analysis; experience with pipelines
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systems biology Proficient in either Python or R and good knowledge of data science environments Familiarity with Unix environments Strong working knowledge of training, including experience as an