16 power-systems-"https:" "https:" "https:" "https:" "https:" ";" positions in Finland
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Systems on a research project investigating interactions between the power grid and turbine-generators, with Olkiluoto 3 nuclear power plant as the main case study. Olkiluoto 3 is one of the largest
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researcher to join the Department of Electrical Engineering and Automation at Aalto University, Finland. You will work in the Research Group of Power Transmission Systems on a research project
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whole fleet can act as one Virtual Power Plant. Read more about the project and other participants here: https://aegis-dn.eu/ Your role: You will be working on “End-to-End Energy Modeling for
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fleet can act as one Virtual Power Plant. Read more about the project and other participants here: https://aegis-dn.eu/ Your role: You will be working on “End-to-End Energy Modeling for Distributed AI
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5 Sep 2026 Job Information Organisation/Company University of Vaasa Research Field Economics » Other Engineering » Electrical engineering Engineering » Systems engineering Engineering » Other
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advantage: power and energy systems, integrated multi-energy systems, hydrogen systems, maritime or port energy systems, data centre energy management, smart grids, stochastic optimization, deep
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societies. Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy technology, and design and implementation of technical systems. The strength of our
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solutions and that way to support the development of new materials needed in green transition and enabling development of new material applications. Read more about our VTT ProperTune® concept: https
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Doctoral researcher in Food Materials Science: Aerogels for Oral Lubrication - part of a MSCA Doctoral Network on FAroGels - Food-Grade Aerogels for Sustainable Food Systems Department of Food and
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Postdoctoral Research Fellows in Proteomics: Neurodevelopment, Cancer and Drug Toxicity, 3 positions
patient-derived clinical material. The work combines differentiation systems and organoid or assembloid models with interaction and expression proteomics, with the aim of connecting genetic variants to