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). Previous experience in ecological modelling is desirable but not essential. Specific Requirements Ability to quickly become proficient in coding using R or Python. An interest in topics relating
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
learning, or transformers is a major advantage. Practical knowledge of Python, clean coding practices, and reproducible ML workflows. Familiarity with protein structure, biophysics, or molecular modeling (MD
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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization
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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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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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we are looking for has: -A good MSc degree or equivalent in applied mathematics or physics, or related area. -Strong numerate and programming skills (Python, C/C++) -Understanding of fluids flow in
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languages (Python, MATLAB) would be considered as assets for the application of the candidate. • Languages: Strong command of scientific English, both written and spoken. • Personal attributes: Autonomy
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.) as well as the basics of spectroscopy is desirable. Programming skills (Python) and experience or a strong interest in machine learning and data analysis are also expected, given the post-processing
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international collaborators Degree : Master of Physics, data