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a week) is possible, as separately negotiated. Requirements Candidates must hold an internationally recognized PhD degree in software engineering, computer science, electrical engineering, or a
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the Quantitative MRI research group at the Department of Technical Physics. The aim of the project is to develop and validate image reconstruction methods and hardware for low-field (~50 mT) magnetic resonance
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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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design and analyse separation processes, develop data-driven or AI-assisted tools, or generate high-quality experimental data that supports method development, modelling, and machine learning. You will
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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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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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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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description Wärtsilä and University of Vaasa are advancing the development of next-generation combustion systems through a combination of experimental testing and state-of-the-art simulation methods
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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