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related field. Strong background in either plasma physics, computational modelling, or fusion energy. Experience with numerical simulation tools is an advantage. Excellent collaboration and communication
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background in Intelligence, Security, or a similar degree with an academic level equivalent to a two-year master's degree and with an interest (and ideally some experience) in Agent-based Modelling, Simulation
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PTM technologies (e.g., proteolysis-targeting chimeras) and/or small-molecule modulators in cellular and tissue/preclinical models. We adopt a collaborative and interdisciplinary approach, integrating
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interventions for newborn piglets. The candidate should preferably have a veterinary background or research experience in animal models of neonatology. The successful candidate will be affiliated to the research
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candidates that would ideally complement the current appetite-suppressing obesity drugs. During the project, you will work with primary mouse and human adipocytes, leverage newly generated genetic mouse models
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omics technologies, bioinformatics, and functional genomics to bridge human data with in vivo model systems. The candidate will work in close collaboration with Prof. Kim Rewitz, Department of Biology
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-parity magnetism. What stabilizes and characterizes these newly discovered forms of matter, and how do we utilize their properties? In order to answer these questions, the PhD student will work with model
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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human behavior and provides active
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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience