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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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environmental and resource engineering in Europe. The department conducts research, development & scientific advice and provides educational programs and service to society. We are working to develop new
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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
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cells provide new means for studying human health and disease in the lab. These systems may ultimately reduce the cost of drug development and accelerate biomedical research. Multi-material 3D printing
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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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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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of Wetlands in Denmark provided the necessary funding is available. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research FieldArtsEducation LevelMaster Degree
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to three years or a SU PhD scholarship (4+4) for a period of up to four years in AI-based Analysis of Scandinavinist Propaganda and Public Perceptions during the Crimean War (1853-1856) provided
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fellowship (5+3) for a period of up to three years or a SU PhD scholarship (4+4) for a period of up to four years in AI-Enhanced Research Data Management: Automation, Ethics, and Cultural Heritage provided
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years or a SU PhD scholarship (4+4) for a period of up to four years in Probabilistic Methods in NLP: Representation Learning or AI Alignment provided the necessary funding is available. Where to apply