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and Prof. Tero Heikkilä at Jyväskylä University. In parallel, the NANO group is pursuing work on fractional Chern insulator in twisted TMD materials. Since there is clear synergy between twisted
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researchers. It should also include substantial collaboration with local students and junior researchers. Application process: The initial appointment will be for 2 years, with an anticipated renewal for a
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will introduce the Call, explain the applications and reviews process and answer questions. A recording/Powerpoint slides of this will be placed online. Please sign up to the information session in order
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functions is therefore crucial in the process of model development to the specific tasks at hand. For instance, the Hyvärinen score matching principle has been widely applied in AI systems, particularly
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Business Finland. The project aims to develop energy-efficient neuromorphic computing hardware based on GCMO memristors, with applications in signal processing, AI, and autonomous systems. The positions
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, C++, plasma processes in the magnetotail including magnetic reconnection and kinetic instabilities. We offer a position in a dynamic and international research group, with a possibility to network and
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machine learning and AI venues (e.g., International Conference on Machine Learning, Neural Information Processing Systems) are considered a significant merit. Scientific interest and contributions in
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, Information, Communication & Society, or in general machine learning and AI venues (e.g., International Conference on Machine Learning, Neural Information Processing Systems) are considered a significant merit