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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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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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obtained by holding a position as a postdoc for at least three years. You have experience in various international projects with different stakeholders. As an ideal candidate, you should also: Have a strong
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processes (e.g., application content, assessments committees’ refiguration and process) and 2) the outcome of evaluation and selection for diverse participants. The research will leverage artificial
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the fabrication of robust artificial quantum superlattices that have never before been realized. Joining our dynamic, international research community, you will gain unique, high-demand competencies in quantum
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The PhD project will be part of Tools or Companions? Investigating the shifting roles of artificial agents in human lives . Conversational AI technologies such as ChatGPT, Replika, or Character.AI
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
leader in the field of membrane biology and glycosciences. We are composed of several research groups and host about 20 postdocs and 20 PhD students, in addition to master’s students and guest researchers
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Head of Section for E-Mobility and Prosumer Integration, Senior Researcher Peter Bach Andersen (petb@dtu.dk ), Assistant Professor Jan Engelhardt (janen@dtu.dk ), and Postdoc Francesco Pastorelli (frapa
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system