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Laboratoire INSERM UMR1311 Rouen Normandie Université | Rouen, Haute Normandie | France | 5 days ago
English (written and oral) is required for international communication • Bonus: Basic knowledge of bioinformatics (e.g., Python, R) or image analysis software (Imaris, ImageJ) is an asset Additional
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Additional Information Eligibility criteria Ability to design and implement behavioral protocols Knowledge of statistics Experience in signal analysis Experience in agent-based modeling Proficiency in Python
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microscopy Force spectroscopy Python programing Labview Research FieldPhysics » Biophysics Additional Information Eligibility criteria PhD in Biophysics Selection process Send your CV to frederic.cuisinier
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, or ability to learn quickly) and/or symbolic/numerical computation (Mathematica, R, Python). • Fluency in scientific English (reading, writing, speaking) is essential to interact with the project's
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and solution of nonlinear partial differential equations (PDEs); Experience with at least one scientific programming language (Python, C++, or Fortran); Ability to work independently while integrating
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Research FieldPhysics » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications You will be expected to demonstrate the following skills and qualities: Strong programming skills (Python and/or
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explore concepts form several topical fields such as: - Acoustics and interfacial fluid mechanics - Advanced wavefront control in complex environments - Experimental instrumentation (Python
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experience in molecular dynamics and/or finite element methods (Abaqus, Comsol, etc.). 4. Proficiency in at least one of the following programming languages is required: Python, Matlab, C, C++. Where to apply
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in scientific programming, particularly in Python and C++ LanguagesENGLISHLevelGood Additional Information Selection process Candidate will have to submit the following documents: Detailed and updated
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data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python