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related to staff position within a Research Infrastructure? No Offer Description ELLIS Institute Finland is a newly established world-class research hub in AI and machine learning – and we are growing! We
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The logic and learning (LOL) group is recruiting a postdoc funded by ELLIS institute Finland. You will work with Associate Professor Andrew Cropper . We work on combining logical reasoning and
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The logic and learning (LOL) group is recruiting a postdoc partly funded by the ARC Prize Foundation . You will work with Associate Professor Andrew Cropper . We work on combining logical reasoning
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related to staff position within a Research Infrastructure? No Offer Description ELLIS Institute Finland is a newly established world-class research hub in AI and machine learning – and we are growing! We
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environment affiliated with the European Laboratory for Learning and Intelligent Systems (ELLIS) Institute Finland. The selected candidate will contribute to the development and implementation of precision
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. The postdoctoral researchers will primarily focus on their own research and be a part of the activities at NARS. They will also be expected to teach (5 %) and organize workshops and seminars. The preferred start
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visit the Life in Finland section on our website to learn more. How to apply Submit your application by using our electronic application form no later than 30 April 2026 by 24:00 (midnight) Finnish time
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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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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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among likeminded researchers that also fosters independence and career development. Dynamics of the group build on the CSSM model for distributed and less hierarchical academic collaboration (learn more