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Field
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controllers for complex systems that are safe and verifiable by design. Information Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and
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inexpensive microfluidic techniques. While the mechanism of these drops’ motion is well-known, controlling their trajectory is often challenging. There exist experimental proofs-of-concept that utilize imposed
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webpage: CoordQ - Universitetet i Sørøst-Norge Are you interested in “Distributed Optimization and Control of Reactive Power considering grid stability in the Nordic Power System", and want to engage in
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for 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, in
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from massive datasets. Their ability to capture transferable knowledge offers a unique opportunity to rethink the modeling of physical interactions. The central idea of this PhD is that a model trained
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be carefully controlled and optimised to ensure good electrochemical performance, mechanical integrity, and impermeability. This challenge is compounded by the lack of rapid inspection methods capable
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the reactor control system and the ship's power management system, coordinating responses across timescales that range from slow thermal transients to rapid load swings during berthing or heavy seas. In
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work will involve: Design and synthesis of injectable hydrogel systems Encapsulation and controlled delivery of probiotics and bacteriophages Engineering and characterization of phage-based antimicrobial
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lasers with silicon integrated circuits, fabricated in-house, to make best-in-class switches, attenuators and phase shifters. The technology is very broadband (measured to 250GHz), high power (tested
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concerning charge and spin transport in quantum materials based on two-dimensional systems, with particular emphasis on controlling and probing quantum states through spin, proximity effects and electrical