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Helmholtz-Zentrum Berlin für Materialien und Energie | Jena, Th ringen | Germany | about 1 month ago
/automated chemistry Good programming skills, e.g., Python Very good written and spoken English skills You demonstrate a high level of commitment, initiative, problem-solving skills, and a willingness to
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experience using statistical software (e.g., R and Python) and AI tools (e.g., Claude Code) are a key requirement for the position. Successful candidates should show potential to excel in tasks related to meta
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diffusion models Familiarity with CT imaging workflows or radiological image-analysis pipelines Ability to develop reproducible research code in Python, preferably using PyTorch Experience with explainable AI
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mechanics and analysis Experience with the following: Structural health monitoring (SHM) Finite element modeling (e.g., ABAQUS, SAP2000, ANSYS) Machine learning / AI (Python, TensorFlow, PyTorch) Demonstrated
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the group of dr Jacek Herbrych (https://jacekherbrych.github.io ) within project NCN SONATA BIS 13 2023/50/E/ST3/00033 entitled “Properties of low-dimensional quantum systems with charge, spin, and orbital
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the environment, including: i) Knowledge of programming languages (e.g., Python and/or R); ii) Ability to work in an interdisciplinary team; iii) Good oral and written communication skills; iv) Strong
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interpreting large datasets using statistical programming languages (e.g. R, Python etc.) Proven independent working style, technical problem solving, data analysis and generation of novel ideas Proficient
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, or similar) and script-based programming (R, Python, or similar) willingness to travel to scientific conferences and workshops and visits to cooperation partners We expect: the ability to work independently
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. Strong engineering and analytical skills 3. Computer modelling skills (i.e. MATLAB or Python) 4. A comprehensive understanding of statistics/statistical modelling 5. Backgrounds in
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The opportunity The University of Liverpool is a key partner in a £14 million initiative ( https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using