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visualization. Experience with GWAS, Bayesian modelling, and/or machine learning applied to biological data. Strong programming skills (R, Python) and ability to manage large-scale -omics datasets. Good
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mathematics, computational physics, or computer science Strong programming skills (e.g., Python, PyTorch, TensorFlow) Experience in one or more of the following areas: Generative AI models (transformers
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languages: Unity, C#, R, Python, etc. Concept i on and development of visualisation tools Implementation of experimental protocols, experimental methodology Analysis of experimental data Use of eye-tracking
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
track record in applied mathematics, scientific computing, and computational mechanics; Proficiency in programming (Python/C++); Solid knowledge of numerical methods. Highly appreciated qualifications
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Machine Learning; Expertise in Expert Systems; Good command of French (spoken and written) and English (spoken and written). Skills: Proficiency in object-oriented programming (Python, Java, JavaScript
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knowledge of psychology, particularly in the field of cognitive aging. - Proficiency in R or Python - Proficiency in longitudinal data analysis would be considered a plus. - Strong verbal and written
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- Ability and interest in conducting experiments in a controlled environment (tank experiments) - Knowledge of Matlab or Python required - Knowledge of numerical simulation software such as Comsol
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related field, with a strong focus on optimization. Technical Skills Proficiency in programming, preferably in Python or a similar language commonly used in optimization. Familiarity with mathematical
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of microbial processes in the context of microbial ecology, habitability, astrobiology and/or extreme environments. Write and execute code in R, Python, GitHub etc., high-performance computing. Evidence of
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analyses of microbiome, geochemical and ecological data including sequencing data. Analysis skills: write and execute code in R, Python, GitHub etc., high-performance computing. Strong oral and written