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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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, 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
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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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integration. Specific Requirements Required profile: - PhD in genomics, molecular biology, bioinformatics or related field. - Strong experience in NGS analyses (WES, RNA-seq). - Bioinformatics skills (R, Python
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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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. Generating fortran code for VUMAT for Abaqus Explicit. Developping python codes for microstructure generation Finite elements simulations on a cluster. Parameter study and comparison with experimental results
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fields : Computer Vision, Machine Learning, Pattern Recognition • Strong programming skills in Python • Good knowledge of Linux tools and environment • Autonomous and rigorous • Curiosity and creative
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skills include expertise in programming with Python, C, and C++ languages, as well as solid experience in model design, tuning, and evaluation. A good understanding of microarchitectures is an asset, as is
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: Proficiency in scientific computing and experience with programming languages such as Python, Julia, or Matlab. Experience in mathematical modeling and computational simulations, particularly in the context
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concepts, and 2) to enjoy finding new solutions in the face of new and unforeseen difficulties. The ideal candidate has very good 1) python programming skills, 2) understanding of the mathematical