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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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science, oceanography, physics, environmental science, or a related field • Strong skills in scientific programming (Python, Fortran, or similar) • Interest in Earth system modelling and climate science
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validation (preferred) • Good programming skills (MATLAB, Python, or similar) • Ability to work in an international and interdisciplinary research environment • Good written and spoken English Specific
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, machine learning, deep learning, high powered computing (requiring Python etc) or a combination of data science and qualitative methods (e.g., interviews and focus groups). Project themes include (but
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral
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Previous experience in protein biochemistry, LC/MS based mass spectrometry Previous experience in handling omics data analysis using software Experience in R and python is a plus but not mandatory Good
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practice of English (level B1 desired) • In-depth knowledge of the Python language • Autonomy, interpersonal skills and ability to work in a team Website for additional job details https://emploi.cnrs.fr
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better than 2.5 - Very good programming skills (e.g., Python, JavaScript/Angular/Electron, C++, or comparable) - Experience in the development of simulation environments or experimental software platforms