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stimulating the positive and sustainable behaviours needed to address ongoing environmental challenges. The research will be developed within the broader scientific objectives of NATURETIME. The specific focus
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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in relocating to Finland (https://www.helsinki.fi/fi/node/350) . How to apply The call is open until 18th of September 2026, but we might close the call whenever we find a suitable applicant, so please
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behaviours needed to address ongoing environmental challenges. The research will be developed within the broader scientific objectives of NATURETIME. The specific focus of the work will be further developed
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two and a half years as from 1 September 2026 (or starting date as agreed). Please find more information below and submit your application no later than 27 August 2026. Role and salary We are seeking a
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use machine learning and data science to find better ways to utilize this data in healthcare planning, personalized medicine and targeted recall-studies. In this position, you will be a part of an
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. Project overview Healthcare systems collect vast amounts of heterogeneous data routinely through interactions with individuals. Our mission is to use machine learning and data science to find better ways
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on biomolecules and their reactions as well as aims to find out how nature functions at the cellular and molecular levels. This information is used in the applications of different fields and at the same time it