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reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop
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of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration
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have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment
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Pepa Atanasova (Computer Science), Ingo Zettler (Copenhagen Center for Social Data Science and Department of Psychology), and Egor Starkov (Economics). The project's goal is to build a foundational
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position is available in modelling of solid-state NMR experiments from 1 October 2026 (or soon thereafter) in the Danish Center for Ultrahigh-Field NMR Spectroscopy at the Department of Chemistry, Aarhus
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to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of
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The Section of Biostatistics is looking for a postdoc to develop statistical methods for inference on causal effects in studies affected by non-random participation, particularly self-selection in
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and presentation record in peer reviewed journals and international conferences. Excellent written and spoken English skills Very collaborative Good social skills Place of employment The workplace is at
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critical to accelerating digitalisation of key infrastructures, incl. healthcare, transport, water, energy, while lowering reliance on cloud infrastructure and electricity use. Cost reductions benefit
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bias reduction in recruitment processes. The position is full-time, three years, and based at the research group Strategy, Organisation and Management at campus Aalborg. The stipend is open for