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dynamic X-ray imaging, then come to DTU and work with us! We are seeking a full-time postdoctoral researcher to join DTU Compute as part of the Villum Synergy funded project “MathCrete”. This research
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(e.g., network calculus or similar timing-analysis methods) and/or dynamic reconfiguration (e.g., using Q-search, reinforcement learning, or metaheuristics). You may also contribute to developing
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statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital
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for Food Allergy at DTU National Food Institute, you will be part of a dynamic and highly ambitious research and innovative environment, with many national and international collaborators from both academia
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framework. The extensions will allow the evaluation of high-impact interventions including dynamic road pricing and Mobility-as-a-Service (MaaS) solutions. FEDORA is also advancing the state-of-the-art in
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Analytics Research Team The Multi-omics Network Analytics research lab (MoNA - https://multiomics-analytics-group.github.io/ ) is an international, dynamic, and creative team dedicated to getting a holistic
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of cementitious materials. Experience with X-ray or neutron tomography. Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help and be part of a dynamic
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to describe the reactive dynamic transport and retention behavior of PFAS and other dissolved contaminants in the subsurface Identify relevant model parameters and parameter sensitivity based on literature
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properties. Ability to work independently, to plan and carry out complicated tasks and to be part of a large, dynamical group Good communication skills in English, both written and spoken We offer DTU is a
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experience in all these areas is not required, candidates should demonstrate their capacity to undertake quantitative and computational research to address questions about epidemiological dynamics. A knowledge