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of cell division planes on mechanical stresses, and (2) the regulation of osmotic pressure in response to the confinement stress exerted by the bark. - activities: Programming with Python of mechano
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differentiation of mESCs and/or hESCs. • Advanced imaging techniques: confocal microscopy, immunofluorescence. • Molecular biology techniques: cloning • Experience in data analysis (Fiji, Python, etc.) Website for
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image processing and/or data analysis. Proficiency in Python programming. Specific Requirements Full time and on-site within the LISTIC laboratory. Internal Application form(s) needed Offre emploi POST
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.) Data analysis and statistics (R, Python) Qualified applicants should send their CV, a statement of research interests and the contact information of two referees before March 9 to david.bikard@pasteur.fr
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of LHC data, based on solid C++ and Python expertise, is strongly appreciated. Ability to work in a large international collaboration is a must. Fluency in English, speaking and writing (B2 minimum) is
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» InformaticsEducation LevelPhD or equivalent Skills/Qualifications Python programming, Slurm jobs, Transformers training, interpretability Internal Application form(s) needed Offre emploi-202603-24.pdf English (101.34 KB
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Python. • Knowledge of the Pytorch library for neural network development would be appreciated. Interpersonal skills: • Candidates must be able to work as part of a team with the various project
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algorithms (Python, Matlab, or equivalent). Experience with deep neural networks, particularly for the analysis of spectral or imaging data, will be highly appreciated. Knowledge of light propagation in
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using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C++ or Python is desirable. Excellent verbal and written
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity