157 programming-"https:"-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions in Denmark
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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1st September 2026 or soon
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
field data acquisition, processing, and interpretation. * Strong programming skills. Advanced Python programming is mandatory; experience with PyTorch, GPU-implementations, or other high-performance
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a PhD student at: the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and
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information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it
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part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 600
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research, programming software, modelling, data science, etc. Programming skills (Python, Java, Git, etc.) Ability and interest in teamwork and interdisciplinary cooperation. Domain knowledge of biological
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research experience and competences within operations research, programming software, modelling, data science, etc. • Programming skills (Python, Java, Git, etc.) • Ability and interest in teamwork and
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able to plan and complete longer research tasks. At the same time, you contribute actively to the research environment, share your work in progress and engage in constructive feedback with colleagues
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collaborators. About the Department of Clinical Medicine The Department of Clinical Medicine provides research-based teaching across all disciplines of the medical degree programme and conducts research within
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programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML systems in safety-critical settings