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with the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Jianhua
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
period of employment is 3 years. The expected starting date for the PhD scholarship is 1 April 2026. The position is a full-time position. You can read more about career paths at DTU here . Further
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of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. The expected starting date for the PhD scholarship is 1 April 2026. The position is a
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on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. The expected starting date
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of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. The position is a full-time position. Starting date is 1 January 2026 (or according
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
the relevant union. The period of employment is 3 years. The expected starting date for the PhD scholarship is 1 April 2026. The position is a full-time position. You can read more about career paths at DTU here
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education, you will follow courses and assist in teaching activities, and: You are expected to spend a period at a foreign research institution You will disseminate your work in international peer-reviewed
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for the PhD education . Assessment The assessment of the applicants will be conducted by Professor Tomislav Dragicevic and Postdoctoral Researchers Pere Izquierdo and Miguel Lopez. We offer DTU is a leading
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inactivation. Designing and optimizing multi-step and systems biocatalysis workflows, including flow chemistry and cascade reactions. Developing and applying modeling tools to evaluate kinetics, enzyme stability
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architectures, and large language models (LLMs) as powerful tools for uncovering, quantifying, and interpreting causal information flow within the brain’s dynamic networks. Your competencies Prospective