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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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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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(at 23:59 UTC +2). Requirements A PhD in computer science or a related topic Prior experience in SAT/ASP/SMT/MaxSAT is essential Any experience in model counting and a broader understanding of machine
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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. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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position within a Research Infrastructure? No Offer Description Aalto University is inviting applications for a Postdoctoral researcher in molecular machine learning. The successful applicant will join the
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, reporting and creating high-quality scientific publications, participating in the preparation of research proposals in your field. Other responsibilities include the co-supervision of PhD students
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20 Dec 2025 Job Information Organisation/Company University of Turku Research Field Computer science » Other Engineering » Computer engineering Mathematics » Algebra Mathematics » Applied
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20 Dec 2025 Job Information Organisation/Company University of Turku Research Field Computer science » Other Engineering » Computer engineering Mathematics » Algebra Mathematics » Applied