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electricity price signals, demand-response mechanisms, and time-of-use optimization. AI-Driven Optimization using Reinforcement Learning: Apply RL algorithms to develop and train agents that optimize power
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period of employment is 3 years. Starting date is 1 September 2025 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further
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employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Martin Hansen (marthan@dtu.dk). You can read more
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If you are establishing your career as scientist and want to be at the forefront of sensory research with focus on the use of modern objective and subjective sensory methods, then this position may
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and maximum 2 examples of relevant publications (in case you have any publications). References may be included, you're welcome to use the form for reference letter at the Faculty website . A statement
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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), if you do not have an education equivalent to a relevant Danish master´s degree – but you have an education equivalent to a Danish bachelors´s degree. Getting into a position on the regular PhD programme
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process