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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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advantageous: Experience in laboratory work, including casting and testing mortar and concrete, as well as the use of general testing and characterization methods, is a prerequisite Experience in using X-ray
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group specializes in experimental quantum technologies spanning quantum information processing, quantum communication, and precision sensing. In this PhD project, you will work at the forefront of solid
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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
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on developing and demonstrating a modular, containerized fuel cell system capable of dual-fuel operation with either hydrogen or methanol. The system aims to provide electrical power to critical infrastructure
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design to develop new high-potential organic flow battery electrolytes with unprecedented stability. The computational work will be done in close collaboration with an experimental counterpart
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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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, biologists, clinicians, and engineers. The PhD fellow will be primarily based at DTU Health Tech and perform animal-related work in collaboration with Hvidovre Hospital and the DTU BioFacility
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competences within computational modelling, optimization and integration of thermal energy storage technologies – such as large water pits and phase change material storage. You will work with colleagues, and
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executing experimental work in the laboratory. Assess the biocide tolerance on a range of culturable and non-culturable bacteria including Campylobacter . Dissemination of your research through publications