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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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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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corresponding level. Brief curriculum vitae (CV). A list of papers and publications. One copy of a selected written work (e.g. master's thesis). Documentation for English language skills if English is not mother
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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