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bridge between KTH’s expertise in early disaster risk detection (e.g., ignition risk mapping for wildfires) and DTU’s strength in AI-supported decision-making for safety-critical systems. Your work will
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the national center for nano- and micro-fabrication. We work in tight collaboration with a team of quantum nanophotonics theorists and a team of nanofabrication experts. We have established an effective in-house
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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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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
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techniques in enzyme kinetics and structure-function analysis Contribute to pioneering research in the green transition and circular economy Be part of a vibrant international research community with excellent
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appointment as of 1st of February 2026. The PhD Fellow will be a part of the project PRAXIS, a research project funded by Tuborgfondet. The appointment as PhD fellow will be a fixed term (3 years), full-time
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structures, followed by thorough characterization of their chemical, structural, and mechanical properties. You will work on understanding and optimizing foam properties such as porosity, elasticity, and
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
for realistic haptic control and feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
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of the nonlinear structural performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators