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PhD Student in Artificial Intelligence-Based Flow Control for Hydropower Linkoping Reference number IEI-2026-00485 We have the power of over 50,000 students and co-workers. Students who provide hope
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well as new information services including data sensing, information flow and processing, and associated information decisions with computational intelligence and control. The increasing size and
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Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization
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We are looking for a highly motivated candidate to pursue a PhD programme titled " CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition ." This research
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, reaction kinetics, mass and heat transfer, phase equilibria, fluid flow, and process control and operation Collaborate with other members of the research group and external partners to achieve project goals
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control water uptake investigate hydraulic adaptation to drought analyse the role of stomatal regulation in maintaining plant water status You will work with modelling approaches implemented in
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heat transfer, phase equilibria, fluid flow, and process control and operation Collaborate with other members of the research group and external partners to achieve project goals Present research
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about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies Duties The PhD education in Medical
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Dose and immunisation schedule optimisation in mouse models ELISA-based quantification of allergen-specific IgG and IgE titres, and competitive inhibition assays Flow cytometry analysis of T-cell
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control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line on the theory