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of fidelity measures. Play a key role in contributing health psychology expertise (theory and methods) to the development and roll-out of a randomised controlled trial and mixed methods evaluation. Identify
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properties of controlled mixed lanthanide species. This research is largely experimental but is done in close collaboration with two theory groups. Responsibilities: Oversee the day-to-day operations on
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in control theory, and/or optimisation and a strong interest in power systems Demonstrated ability to conduct independent research and publish in high-quality venues. Level B applicants will have: A
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theory and digital twins, and the Data and Knowledge Management (DKM) research group, which works in sematic technologies. Both groups have a dynamic and interactive working environment with good gender
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of accession in the position. About the PhD-project Quantum theory is currently bringing a revolution to technology by introducing new concepts and advancements. However, many fundamental questions remain
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in programming language theory, algorithms, distributed systems and logic Experience with language-based techniques for information-flow analysis or access control, formal methods or semantic
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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pioneering, cross-disciplinary research that integrates AI, energy systems and advanced mathematics. This position aims to advance the next generation of battery modelling and control strategies by combining
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to candidates with a multi-disciplinary background consisting of both control theory (or related fields) and economics (or related fields). Applicants must have experience in one or more of the topics: Model
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Programming skills. Strong expertise in control theory. Strong publication track record. Self-Motivated and takes initiative Independent and can work well with a team Ability to adapt to changing priorities