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date is (expected to be) March 1st 2026 or as soon as possible thereafter. The project UP2MEN will train 15 doctoral students to face the complex challenge of predicting the impact of pollutants
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student to join our dynamic and interdisciplinary research team in the Section of Construction Materials and Durability at DTU Sustain. Through advanced experimental work and modelling, you will help
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at the intersection of machine learning and operations research to design and operate the water networks of future sustainable societies. Water networks are characterized by their complex topologies and highly non
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Programming Beyond the Circuit Model” led by Assoc. Prof. Robin Kaarsgaard . The project aims at introducing new abstractions, models, and programming languages that radically change how we can reason about and
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, processing video data, and applying AI models to improve efficiency in population and behavioral analyses. Fieldwork will be combined with statistical and spatial analysis using RStudio and GIS tools. In
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and sustainable biomanufacturing. However, little is known about non-model gas fermenting microorganisms. The focus of the advertised positions will be on mapping the metabolism of gas fermenting
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centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute
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method (measurement of energy stored) will be developed in the laboratory. You will work at the intersection of experimental testing, storage modelling, and energy system monitoring and control
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centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute
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. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process & microstructure with