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optimization. We are looking for a candidate who is motivated by both technical curiosity and making a real-world impact. Ideally, you: Have experience with AI models (e.g., graph neural networks, supervised
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
-tech industries (HTI), and communities to cascading hazards, particularly NaTech (Natural Hazard Triggering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network
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dynamic community of PhD students and actively supports diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge
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committed to producing outstanding research with the highest academic and social impact, offering excellent research conditions. The division hosts a dynamic community of PhD students and actively supports
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
executing computational and experimental research incl. studies on user experience, usability, and net promoter scoring Effective communication and teamwork abilities, with a commitment to contributing to
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in planning and executing computational and experimental research incl. studies on user experience, usability, and net promoter scoring Effective communication and teamwork abilities, with a commitment
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and