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programming in Python, C++, MATLAB, or comparable languages is preferable Experience with turbulent reacting flows, direct numerical simulation (DNS), Large-Eddy Simulation (LES), or combustion modeling is an
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radiation range; Proven research experience in conducting computer simulations and designing optical systems, THz emitters, or detectors. Proficiency in the PYTHON or other programming environment
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emitters, or detectors. proficiency in the PYTHON or other programming environment. LanguagesENGLISHLevelGood LanguagesPOLISHLevelGood Research FieldPhysics » Solid state physicsPhysics » OpticsPhysics
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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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experience expertise in AI/ML applied to genomic data. Proficiency in R, Python and relevant libraries for machine learning (e.g., scikit-learn, TensorFlow, PyTorch). Experience with molecular or developmental
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++, Python, ROS/ROS2) A strong track record of writing and maintaining technical program documentation and operational procedures. Expertise and experience in using AI approaches for automating navigation and
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, multiplex immunofluorescence and immunohistochemistry techniques strong data analysis skills with experience using R; experience with Python will be highly regarded experience using relevant research software
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
tasks include: implementing computational mechanics algorithms in Python and C++, translating existing research codes and numerical methods into a modern collaborative software framework, developing
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are no longer practical. This project aims to automate anomaly detection (identifying missing, stuck, and suspicious data) at high temporal resolution (five-minute intervals) by combining Python-based rule-based
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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models