12 computer-science-"https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs in Sweden
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information, see: www.slu.se/forskning/forskningskatalog/projekt/w/windyforests/ Your profile You must hold a PhD in forestry, ecology, environmental science, systems analysis, mathematics, operations research
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and Artificial Intelligence (RAI) ( https://www.fieldrobotics.eu/ ) based at Department of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg
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PhD student position in computer science (HINTS) - Theme D Karlskrona Reference number BTH3 2026/93 Blekinge Institute of Technology is a place of curiosity and ingenuity with a campus in the middle
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environment across many closely connected teams. The DanMAX beamline, in the Hard X-ray Group at MAX IV, is a materials science beamline specialising in X-ray diffraction and full-field imaging
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environment across many closely connected teams. The DanMAX beamline, in the Hard X-ray Group at MAX IV, is a materials science beamline specialising in X-ray diffraction and full-field imaging techniques
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Preparing documentation Authoring scientific publications Qualifications You must have a PhD in computer science, computer vision, or a closely related field. The degree must have been completed no later
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medical images. Experience in computer programming. Preferred Qualifications Knowledge of 4D Flow MRI data processing and analysis. Knowledge of cardiovascular physiology. Experience programming in
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, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic machine learning for the next
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a Master’s degree in computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or
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Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine learning and simulation-based inference