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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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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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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
for realistic haptic control and feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
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to find ways to increase profits, and they might do this in ways we didn’t anticipate. This project is about investigating what kind of market equilibria emerge from these multi-agent market interactions
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for realistic haptic control and feedback, real-time agent-based simulation for guiding optimal work task performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
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genomic epidemiology as well as on other tasks related to the National and European reporting of zoonotic and antimicrobial resistant agents together with a team of colleagues. Responsibilities and
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into the regulatory network and propose novel ways to manipulate and engineer strains for use as the next biocontrol agents. This project will be done in collaboration with researchers at the Korea Advanced Institute