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available studies indicate that RL-MPC control strategies can result in significant savings in operational energy management for a building. However, the impact and scalability of these results for the large
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
personalized learning for improved instant decision making. Key beneficiaries are expected to be construction industry stakeholders, for example, project owners, architects, engineers, site management (incl
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emergency managers, robotics developers, and public authorities. Is tested and refined in close collaboration with stakeholders through simulation exercises, workshops, and field studies. The project builds a
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, particularly NaTech (Natural Hazard Trig-gering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the new generation of Doctoral
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
, engineers, site management (incl. health, safety, environment), equipment operators, pedestrian workers, and emergency responders. The initial contributions are expected to be in (a) digitalizing existing
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available studies indicate that RL-MPC control strategies can result in significant savings in operational energy management for a building. However, the impact and scalability of these results for the large
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. in the graduation class for the study programme. List of publications and maximum 2 examples of relevant publications (in case you have any publications). References may be included, you're welcome
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processes (e.g., application content, assessments committees’ refiguration and process) and 2) the outcome of evaluation and selection for diverse participants. The research will leverage artificial
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communities to cascading hazards, particularly NaTech (Natural Hazard Trig-gering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the
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opportunity to study the effect of archaic introgression on human health and phenotypes. Co-supervisor and contact person for the application is: Assistant professor Laurits Skov, Section for molecular ecology