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, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly
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Python or similar. Experience with optics and/or reflectometry for X-rays and/or neutrons. Personal drive and self-motivated. Good communication skills in English, both written and spoken. Being able
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geotechnics/soil mechanics. The following desirable skills are an advantage, but not a requirement. Data analysis skills in python An interest in energy policy / the economics of energy Numerical modelling
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” for formal requirements regarding the master’s degree. Good programming skills in Python. Previous experience with neural approaches and particularly generative language models is an advantage. Experience
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 26 days ago
, France, industries, etc). Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09879 Requirements Skills/Qualifications Good skills in Python (Pytorch). Ideally, prior experience with
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, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in presentations and in writing Self-motivated and well
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, Bioinformatics or related fields with an interest in biology or Biological sciences with a strong background in programming Expertise and experience in programming, Python or R Expertise to work in a Linux
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the following: A background in experimental neuroscience, animal behavior, or cognitive psychology Experience with data analysis, programming (e.g., Python, MATLAB, R), and statistical methods
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for data analysis, in particular Python, is a desirable skill. Candidates with a strong willingness to learn and apply Python throughout the project are also encouraged to apply. • Good level of
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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is