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for Basic Metabolic Research (CBMR ), University of Copenhagen. The PhD fellowship is part of the CBMR International PhD & Postdoc Program . About Us The Novo Nordisk Foundation Center for Basic Metabolic
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for Basic Metabolic Research (CBMR ), University of Copenhagen. The PhD fellowship is part of the CBMR International PhD & Postdoc Program . About Us The Novo Nordisk Foundation Center for Basic Metabolic
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for Basic Metabolic Research (CBMR ), University of Copenhagen. The PhD fellowship is part of the CBMR International PhD & Postdoc Program . About Us The Novo Nordisk Foundation Center for Basic Metabolic
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weekly journal clubs, data clubs, seminars with invited speakers and a young researchers club ASAP and our own PhD programme, MoMeD and our own Postdoc Career Programme . BRIC actively participates in
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predictive or generative methods for materials discovery. Work with state-of-the-art neural network architectures applied to materials data. Publish scientific papers and present research results in top
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well organized, structured, self-driven and enjoy interacting and collaborating with colleagues including PhD students, postdocs, and you are expected to take part in supervision of BSc and MSc students
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similar degree with an academic level equivalent to a two-year master's degree in the field of civil- or architectural engineering or similar fields. Experience with the following will be highly
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
., Architectural, Electrical, Mechanical or Industrial Engineering, Autonomous Systems, Computer Science, Medical Engineering, and Human Psychology) Excellent background in the design, creation, and testing
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
qualifications and technical skills that are listed below. MSc Degree (or equivalent) in Civil or Mechanical Engineering or other related engineering or science fields (e.g., Architectural, Electrical, Mechanical
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, or predictive modeling—based on real experimental data. You will work closely with engineers, technicians, and the postdoc to build and refine data pipelines and interfaces. As part of your research training, you