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Job Description We invite applications for a 3-year PhD scholarship at DTU Energy. The project will integrate innovative physics-based atomistic modeling methods and data-driven inverse molecular
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
capital facility maintenance operations. The virtual education and training environment incorporates Digital Twin Construction project data, multimodal and augmented tools for realistic haptic control and
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for ambitious candidate with an MSc degree in sedimentology, geochemistry, or geobiology, although a degree in related environmental sciences will also be considered. For further information please contact Don
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DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from
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Division at DTU Management. The PhD project aims to analyze and optimize Hospital-at-Home concepts using data-driven decision-support addressing challenges like long distances to specialist care and high
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institution as a visiting PhD student. For this specific project we have an agreement with Royal Holloway in London. See the CBS homepage for more information about the PhD program, http://uk.cbs.dk/phd It is
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22 Aug 2025 Job Information Organisation/Company Technical University of Denmark Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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26 Sep 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Sustain Research Field Environmental science Chemistry Researcher Profile First Stage Researcher (R1
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
2 Sep 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Civil and Mechanical Engineering Research Field Engineering » Civil engineering Engineering
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assessments of data quality effects on genomic inference, and apply these methods to real datasets from extinct species. You will help shape how the field extracts meaningful biological signals from challenging