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is to develop RL methods that can search large policy spaces and support decision-makers in exploring robust strategies under deep uncertainty. Policy problems typically involve many control levers
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involve complex trade-offs: while higher charging currents reduce charging time, they also accelerate degradation and heat generation. We aim to develop intelligent, health-aware charging protocols
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methodologies to develop a comprehensive framework for the material characterization. The focus will be on employing hyperspectral imaging techniques to analyse and quantify the physicochemical and structural
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-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
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Job Description Nanoparticle Assembly for Optical Sensing and Nanomachines Job Description We are offering a research opportunity focused on the development of programmable nanomachines and light
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, innovation, and scientific advice for the benefit of society. We value a high level of professionalism among our staff, and therefore skills development is an integral part of our organization. The position
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Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and MSc level Interest and experience in developing competitive national and
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in planning and conducting molecular laboratory work
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Disentanglement of the Exceptional Biological Learning Machine, which is headed by Professor Jan Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and
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laboratory analysis of chemical compounds primarily within the field of trace element determination assist in method development and validation operate, maintain, and troubleshoot advanced analytical