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proficiency with at least one programming language (Perl or Python preferred). Skills in molecular phylogeny are a plus. Other required skills: English (written and oral). Good presentation and communication
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, preferably with some majors in color science or/and psychophysics. Other profiles may be considered case by case. Preferred selection criteria: Knowledge in: Color and/or Psychophysics. Knowledge in: Python
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. - Programmation et développement logiciel : bonne maîtrise de Python, avec des bibliothèques comme OpenCV, TensorFlow, PyTorch, Scikit-learn, et des outils d'analyse de données (Pandas, NumPy, Matplotlib
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molecular spectroscopy and nonlinear optics, and is a must for recruitement. Additional qualifications such as training and supervision of master students, and proficiency in Python and/or Matlab are valuable
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, hydro-acoustics, data science, geodynamics, geophysics, statistics, Bayesian inference ⁃ Experience with statistical analyses and machine learning techniques ⁃ Programming in C / python / Julia
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: electronic structure calculations (plane wave DFT if possible), statistical thermodynamics, molecular dynamics. Skills in Python, bash scripting, Fortran 90 and machine-learning would be appreciated. The PIIM
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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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deep learning, optimisation, sampling. Good coding skills for numerical simulation (Pytorch, Python, MATLAB, ...). A general interest in health and biology is welcome. Practical information MORPHEME
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to optimization algorithms Other closely related topics Your profile Master's degree in computer science, physics or a related field Advanced knowledge in the field of Quantum Computing Knowledge of Python Good