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-end of the system utilizing full technological stacks. The ideal candidate must have excellent programming skills and experience with setting up open-source LLM environments is a clear advantage. Given
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Copenhagen Graduate School of Social Sciences. The PhD programme The PhD programme provides PhD students with strong research training which opens a window of opportunity to a variety of careers within
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University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D
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or soon hereafter. The stipend is available within the doctoral program “Biostatistics and Epidemiology”, and the duration of the position is three years. Your work tasks This PhD project sits
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analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your skills in scientific computing and hyperspectral data processing. You have
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that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at
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. The postdoctoral fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus
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representation learning. Programming skills (e.g., Python) and experience with deep learning frameworks (e.g. PyTorch) Interest in applications to ecological or biological networks Good analytical and
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software and are motivated to develop and apply dynamic models of energy and chemical processes. You are familiar with programming languages and computational tools. Expertise in a particular software
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to plan and carry out long-term empirical research tasks. You will work closely with Port of Aalborg, where you will have a second workspace, and you should be comfortable engaging with both academic and