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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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algorithms Predicting structured output Self-supervised learning Computational metabolomics Computational biomedicine Computational drug discovery Excellent technical and communications skills are required
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assembly phase transitions in multicomponent biomacromolecular solutions and/or 2) structural organization of polymer assemblies for functional materials (active and driven materials). The applicant can
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Applications (EMA) research group (https://www.aalto.fi/en/department-of-chemistry-and-materials-science/electrochemical-materials-and-applications ), led by Prof. Daniel Martin-Yerga, is seeking a highly
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this department, the Electrochemical Materials and Applications (EMA) research group (https://www.aalto.fi/en/department-of-chemistry-and-materials-science/electrochemical-materials-and-applications ), led by Prof
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Structures (FiRST). The starting date is March 1, 2026, or as mutually agreed. The positions are for a period of two years, with a possible one-year extension. Your experience We expect you to have a PhD
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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 date is March 1, 2026, or as mutually