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understanding how human capabilities are influenced by technology. We are a diverse and highly collaborative group of researchers who strive to provide a welcoming, supportive, and caring environment for all
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that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and/or data science. Fluency in English and Python are required. Experience working with real-world
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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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environmental and resource engineering. The department conducts research, development and scientific advice, and provides educational programs and services to society. The Department’s mission is to develop new
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modern humans, how long they coexisted with modern humans and where they interacted with modern humans. Further since many biobanks how medical records associated with them this projects provides a unique
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). INNER_LEAGUE provides a comprehensive social-bureaucratic history of the League of Nations Secretariat. The project will investigate the inner life of the secretariat to (a) understand how it shaped
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, and your theory will provide important guidelines for the experiments performed in our lab. The primary tasks will be to: develop quantum-mechanical models of individual emitters driven with short laser
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of aquaculture (e.g., farming technologies, water quality, fish physiology and nutrition, aquaculture microbiology), providing a scientifically stimulating multidisciplinary and multicultural environment
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regarding interventions on sustainable diets. This PhD project bridges evidence synthesis and RBA of sustainable diets for public-health advice. RBAs rely on data provided by systematic reviews reporting
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
behavior and provides active personalized learning for improved instant decision making. Key beneficiaries are expected to be construction industry stakeholders, for example, project owners, architects