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techniques (PINNs, Scientific ML, data-driven optimization, etc) to surpass traditional techniques for discovery, design and optimization of thermal technologies, seeking necessary experimental validation
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facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from the department have established companies
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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numerous researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and
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. An exciting interdisciplinary environment with numerous national, international, and industry partners. A workplace culture that encourages lively, open, and critical discussion. A working environment with
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NAS that considers accuracy, latency, energy, and carbon at the same time. Delivering a carbon-aware NAS framework that generates Pareto-optimal model architectures and model libraries whose variants
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. The position has a duration of up to one year. The hired candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP, https://acp.sdu.dk ), an ambitious group
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theoretical and numerical methods based on optimal control to optimize sensor selectivity and sensitivity. Using this setup, different sensor targets will be explored experimentally, and the data should be
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teams with colleagues. Your qualifications You are expected to have a Ph.D. in hydrology and have documented experience with numerical integrated hydrological modelling including groundwater, remote
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed