12 postdoctoral-machine-learning-"https:"-"UCL" Postdoctoral research jobs in Finland
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Lecturer Ulla Savolainen (ulla.savolainen@helsinki.fi ). Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409778/postdoctoral-resear… Requirements Additional Information Work
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related field. Strong knowledge of machine learning. Strong publication record in a relevant field. Excellent analytical and problem-solving skills. Interest in collaborative research with both academia and
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Postdoctoral Researcher position on the Joensuu Campus. The position will begin on 1 June 2026. Read more below and submit your application no later than 30 April 2026. Position and salary The Karelian Institute
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processing, machine learning, statistics or related fields. Demonstrated expertise in ML/AI, with prior experience of applications in the healthcare domain, particularly in cancer research considered a strong
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inequalities and Sobolev-type spaces (with Hytönen and/or Korte), 3. Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic
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Positions here. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409436/postdoctoral-resear… Requirements Additional Information Work Location(s) Number of offers available1Company
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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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inviting applications for a Postdoctoral Researcher position in the field of Atmospheric Aerosol Physics and Chemistryat the Department of Technical Physics on the Kuopio campus. The position will be filled
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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machine learning techniques, and GPU programming. The simulation results will be compared to observational data obtained using facilities worldwide including ESO and NOT. Who we are looking for A successful