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Laboratoire INSERM UMR1311 Rouen Normandie Université | Rouen, Haute Normandie | France | about 1 hour 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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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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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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‑EM) Computational protein modelling and design Protein biochemistry and biophysics Interest in and capacity for development of bioinformatics methods and programming in Python Academic Eligibility
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areas: AI/ML, image processing, molecular modeling and docking Strong experience in Python and C++ programming (knowledge of Fortran is a plus) Strong interest in interdisciplinary research bridging
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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
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areas: AI/ML, image processing, molecular modeling and docking ‒ Strong experience in Python and C++ programming (knowledge of Fortran is a plus) ‒ Strong interest in interdisciplinary research bridging
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 2 days ago
analysis, gravity models, Bayesian models, etc.). In this regard, proficiency in software is required: programming languages such as R or Python, machine learning, econometric softwares, data management