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, the project implements an approach combining social, institutional, and digital history across three work packages: (i) Communities, (ii) Hierarchies, and (iii) Infrastructures. To operationalize its approach
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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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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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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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, 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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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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. The purpose of the PhD project is to conduct an empirical and theoretical investigation of how artistic co-creation can open new pathways for recovery, identity work, and organizational learning and development
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paid partly in the form of 48 state education grant portions (in Danish: “SU-klip”) plus salary for work (teaching, supervision etc.) totalling a workload of 150 working hours per year. A PhD grant
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13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and
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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