140 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Denmark
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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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-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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. Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus
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responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who
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the course (particularly NVivo and Orange Data Mining). Prior knowledge of these programs is an advantage but is not required. The employment period is 1 September to 31 December 2026. Applicants are expected
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span courses from bachelor to master level and will typically cover topics such as machine learning, deep learning, computer vision and programming. You will supervise student projects and theses at both
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programs, including a broad array of topics within accounting. The position includes supervision of project groups and individual students, participation in research collaborations within the group, and
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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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scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to communicate effectively in English (both
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of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical