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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets. The project is highly interdisciplinary (microtechnology/electronics
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) /COMSOL/ Abaqus etc., with a strong focus on multi-phase modeling of high-energy density heat sources, including laser-material and electron beam-material interactions Good programming skills (e.g. Python
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and workflows (e.g., Hugging face, Keras, Torch, etc) Research experience in conducting end-to-end experiments and academic writing. Experience writing Python programs and using developer tools (e.g
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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral
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(GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral communication skills
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data science Proficiency in Python programming Experience in machine learning for materials development (e.g. supervised and active learning, feature engineering) Interest in lab automation (LabView
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beam-material interactions Good programming skills (e.g. Python, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently
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programming languages such as Python, Perl, or R - Strong analytical and computational skills - Ability to work independently and collaboratively in a research team - Very good knowledge of two official Swiss
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) Weather modelling (Numerical Weather Prediction) Computing experience with Python. Excellent English writing and speaking skills. Strong peer-reviewed journal publication record. Position conditions: Full