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bridge between KTH’s expertise in early disaster risk detection (e.g., ignition risk mapping for wildfires) and DTU’s strength in AI-supported decision-making for safety-critical systems. Your work will
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that can then be tested quickly in the lab rather than remain computational predictions? Do you also wish to work closely with experimental biologists and gain a solid grasp of how experimental work is
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pavements that are subjected to moving, accelerating, braking, and turning wheel loads. The work will be carried out as part of the LOOPER project, supported by the Danish Energy Agency. The LOOPER project
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to improve understanding of the degradation processes that dictate the operation lifetime of solid oxide cells (SOC). Transforming our society to rely only on sustainable energy sources is a formidable
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systematic reviews in RBAs could lead to more valid assessments and living support systems to public health decisions. By joining the Risk-Benefit Research Group at DTU National Food Institute, you will work
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and qualifications Your overall focus will be to develop and evaluate bio-based circular packaging materials that improve food safety, reduce waste, and support circular value chains. The work includes
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circular, economically viable future for packaging. Through SSbD assessment in collaboration with the consortium, experimental work and risk modeling, you will help uncover the hotspots in the production
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theoretical models to describe the dynamics of quantum light sources, with the goal of understanding their behavior and improve their performance. You will work in close collaboration with the experimental team
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some background in one or more of the following areas: Mathematical Optimization / Operations Research Reinforcement Learning, Machine Learning, and/or Multi-agent systems Game Theory Algorithms
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML