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Field
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organisation, while MRI metabolic imaging offers a patient-scale perspective on related metabolic and invasive phenotypes. This PhD research will be carried out at the IBGC as part of the ShadowEV-GBM
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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
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UiO/Anders Lien 28th September 2026 Languages English English English PhD Candidate in advanced immune competent liver models Hybrid Technology Hub – Centre of Excellence (HTH CoE), Institute
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/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We invite
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://www.academictransfer.com/en/jobs/363733/phd-candidate-multimodal-and-ag… Requirements Specific Requirements Profile We welcome candidates with an MSc or equivalent expertise in artificial intelligence, medicine, computer or
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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19 Aug 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Electrical engineering Engineering » Electronic engineering Engineering » Computer engineering Computer
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 1 month ago
of their consent and pursuant to art. 221 of the act of 26 June 1974 Labour Code (Journal of Laws 2018.917). The following personal data are processed during the recruitment process: first name(s) and surname, image
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description: The PhD project will be carried out within the Vascular Neurology Research Group
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objective will be to adapt tissue-clearing techniques for multimodal nonlinear imaging while preserving both the structural integrity of the biological specimens and the integrity of the optical signals