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Engineering, Physics or a related technical field Good competence in Modelling and Simulation (Dymola/Modelica, gPROMS, AVEVA PS, or similar) Good competence in programming (Python) Good competence in
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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of programming languages (e.g., Python or R) We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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machine learning, deep learning, or computer vision Experience with Python and common AI frameworks (PyTorch, TensorFlow) Interest in hallucination detection, robustness, trustworthiness, and (optionally
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are welcome to apply. You have strong programming skills in Python and/or MATLAB and/or R. You have experience with EEG, MEG, or related neuroimaging methods, time-frequency analyses, or a strong interest in
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highly motivated candidate with: Master’s degree in medicine (MD) Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and
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and later into career aspirations and professional experience: Statistics, Python, R, Modelling & Analysis Environmental Policy Professional internships (usually 1-3 months) Career Conversations
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quantitative medical imaging Proficient programming skills in at least one object-oriented language (e.g., C++, Python) and broad understanding of common programming paradigms, including object-oriented design
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now! Education · A PhD in an engineering discipline is mandatory. Experience and skills · Proven programming expertise in Python is necessary; knowledge of other programming languages
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, genetics, multi-omics data analysis, and/or genome annotations (R or Python skills desirable) • Prior experience in engineering Aspergillus spp. is a plus • Strong motivation for interdisciplinary research