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mathematical physics, including their formalization. This position is associated with Kalle Kytölä’s research group, part of the Finnish Centre of Excellence in Randomness and Structures (FiRST). The starting
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. Probabilistic techniques in mathematical physics, including their formalization. This position is associated with Kalle Kytölä’s research group, part of the Finnish Centre of Excellence in Randomness and
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the Finnish Center for Artificial Intelligence . His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often
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. This multi-method ethnographic project aims to identify types of learning generations, inter- and intra-generational workplace learning practices, and support needs in work communities to achieve more
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computational models (e.g., Convection-Diffusion Equations, Finite Element Methods, Computational Fluid Dynamics) to investigate cerebral blood flow (CBF), neurovascular coupling (NVC), and neurovascular system
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microscopy, diffraction, and other complementary methods; (c) Developing and applying analytical techniques, such as liquid chromatography, to identify and quantify reaction products. You will also have
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Chemie International Edition 2016, 55, 669 (DOI: 10.1002/anie.201509302). The research integrates electrochemistry, molecular design, and development of novel synthetic methods. The job requires
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disorders) with the aim to clinically validate the methods and promote their translation to healthcare. The positions are funded from Research Council of Finland project 'VR2Real: Precision diagnostics
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is recommended. Experience in molecular nanotopology, foldamer chemistry, or oligophenylene synthesis is particularly relevant. Prerequisites for the positions include thorough working methods, team
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, with flexibility to choose their approach and methods within the project’s overarching aims. They will prepare scientific publications and engage actively in collaboration within the project’s