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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
Do you want to launch your scientific career by developing the next generation of living building materials for sustainable construction? Join DTU Construct as PhD candidate and contribute
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Engineering (DTU Construct), Technical University of Denmark (DTU), you will help advance the state of the art in multiphysics modelling through a unique international research collaboration involving DTU
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
8 Sep 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Construct Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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based in the department’s 2D materials research environment, where we study the synthesis, fabrication and physical properties of atomically thin materials and heterostructures. The project will also make
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help to build the digital
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Help to build the digital backbone of tomorrow's Power-to-X plants. This 3-year PhD position offers a unique opportunity to build a research career at the intersection of digital twins, multi
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We are seeking a highly motivated researcher in Physical Oceanography to join our interdisciplinary marine research environment. The successful candidate will contribute to cutting-edge research
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: Expert knowledge on coupled 3D hydrodynamic-biogeochemical models and agent-based models Expert knowledge of marine physical- and biogeochemical processes in coastal and/or open waters Very good skills in
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need assistance in the application or recruitment process, if there is something we should know, or if as a person with disability you wish to make use of your preferential access. Where to apply Website
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can be used as a practical tool to identify and adjust recipes that, for a given machine and processing window, fulfil defined target criteria. Building on existing evidence that Machine Learning can