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position in simulation-based inference for particle physics Uppsala university Share: Facebook Twitter LinkedIn Email Application deadline October 15, 2026 Read more and apply SciLifeLab / Careers
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a greener NC process. Flow simulation and AI-supported data analysis are central tools. The work is carried out at the Department of Fibre and Polymer Technology and in collaboration with FOI and
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work will include iterative development, assembly, verification, and validation through simulation and experimental testing. The research engineer will also participate in the planning and execution of
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medical image analysis and biomechanical simulation. Our research focuses on biomechanical imaging and modelling to improve the diagnosis, treatment, and prevention of a wide range of injuries and
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application. The answers will be used as a part of the selection process. Please submit your application by October 26, 2026, UFV-PA UFV-PA 2026/2752. Where to apply Website https://uu.varbi.com/en
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of the same underlying process, traditionally interpreted manually and in isolation. Multimodal machine learning offers a principled alternative: integrating heterogeneous experimental and simulation
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matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of collaborators and strong access to compute through national GPU systems (NAISS, e.g
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Astronomy, Division of Applied Nuclear Physics at Uppsala University conducts research and education in applied nuclear physics and nuclear engineering. The research includes modelling and simulation
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order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to: independently
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Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience with simulation frameworks, system-level