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mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep learning framework (e.g., PyTorch, JAX). An early track record of research (e.g., a high-quality Master's
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simulation and machine learning funded by the Klaus Tschira Foundation. Profile Solid grounding in statistical mechanics Experience with machine learning and/or molecular simulation; strong Python and PyTorch
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. Fluent oral and written communication skills in English. Desirable qualifications Documented Experience with Python and/or another scientific programming language. Documented Experience with image
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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(e.g. SolidWorks) • Programming language skills in Matlab and/or Python • German language level B1 or higher What we offer: • Full position (100% / 40h, pay grade E13, TV-L) • Flexible solutions for home
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) in languages relevant to accelerated materials discovery, particularly Python Behavioural competencies Research - Communication (Level 3) Research - Creative thinking (Level 3) Research - Teamwork
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programming capabilities (1-3 years minimum experience) in languages relevant to accelerated materials discovery, particularly Python Behavioural competencies Research - Communication (Level 3) Research
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animal movement analyses. Geospatial analysis, GIS, and remote sensing. Statistical, ecological, and machine-learning modeling using modern analytical software (e.g., R or Python). Google Earth Engine and
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languages commonly used in the scientific environment (especially R, Python) would be an asset. Most of the work will be carried out in the laboratory at the LAPA facilities on the CEA Saclay site. Field
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in Python and/or C++ programming will be considered a strong advantage. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7315-DAMAND-006/Default.aspx Requirements Research