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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning
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. The student will collaborate closely with the PI and her research group at Umeå University to investigate the proposed learning approach. The PhD student is expected to produce research outputs relevant
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and School, Working Life, and Teacher Education in Collaboration, funded by the Swedish Research Council and conducted in cooperation with other higher education institutions. The overarching aim
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dimensions andanalyse particle trajectories using a combination of established tracking algorithms and machine-learning-based approaches. You will further correlate the diffusive behaviour of viruses
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and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed
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medical applications. Federated Bayesian learning offers a solution to those problems by allowing multiple participants to train machine learning models collaboratively, without sharing any data. Bayesian
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, are available for exploration. Our PhD program offers excellent training and career development opportunities in a stimulating and collaborative research environment. Eligibility To fulfil the general entry
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student in Statistics who can perform high quality statistical research. Apply January 6, 2026, at the latest. We are seeking a PhD student within the WASP-HS project “Machine learning to study causality