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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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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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related discipline; An interest in the impacts of land use; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of
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data from textual sources Conduct data analysis using econometric and statistical tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing
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the analysis of large-scale omics data (e.g., proteomics, metabolomics, transcriptomics), including basic programming skills in R and/or Python Documented experience with exercise testing (e.g., testing
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of cladding hoop stress and assessment of PCI-failure risk, • implementing, testing and documenting computational tools, for example in Python, and contributing to reproducible computational workflows
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
work. Some experience in modelling of composite materials. Some experience in programming (Python, Fortran, CUDA or similar). Some experience in fluid mechanics and biomechanics. Personal characteristics
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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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both high-level and low-level programming languages such as Python for the former and Fortran/C++ for the latter. You will be part of the EMPMC lab , headed by prof. van Beurden, embedded within