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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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Lehrstuhl für Nachhaltige Thermoprozesstechnik und Institut für Industrieofenbau und Wärmetechnik | Aachen, Nordrhein Westfalen | Germany | 10 days ago
spoken English. You have in-depth knowledge of iron and steel metallurgy, energy and mass balances, heat and material transfer and/or modelling and optimisation. You have programming skills in Python
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related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency in programming languages such as Python and experience
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for mathematics Experience with programming (e.g. Python, C++, CUDA etc.) Knowledge of information theory Good reasons to join: Look forward to a unique working environment on our international research campus
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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, empwering personalized medicine in psychiatry. Experience in quantitative genetics and/or deep neural networks, R/Python/PyTorch/Tensorflow etc. is desirable. Apply now via our career portal until 19.11.2025
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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
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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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normative modelling is an advantage. Programming skills (Python, C/C++) and experience with MRI morphometry are desirable. Furthermore, the applicant should be able to work both independently and in a team
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psychoneuroendocrinology, enthusiasm for interdisciplinary research, and strong skills in experimental set-ups/performing lab-based studies and statistics. Programming skills (Python, R, Matlab) and experience with MRI data