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Job Description Are you an established researcher in probabilistic machine learning, with a passion for developing robust, trustworthy, and explainable AI methods for applications in science and
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stakeholders, we can offer you a position in a progressive and international environment, where we work to support High Performance Computing (HPC) in Danish research. About the job In DeiC’s HPC department, we
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aero-elasticity, numerical flow computation and experimental work. You will work with nearby colleagues and international collaborators and be an active contributor to the ongoing project formation and
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and quantum technologies rely heavily on theory, which is therefore considered at least as important as the experimental expertise. In addition, experience with numerical simulations of nanophotonic
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Job Description Would you like to shape the next generation of decision-support methods that help wind energy deliver reliable, cost-effective power in an increasingly complex energy system? At DTU
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, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and
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Master’s program in Kalundborg. We value innovative teaching methods, including the use of digital technologies. Research: Your research will be anchored in AT-CERE which is part of DTU Chemical Engineering
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Job Description A one-year postdoc position in the field of sustainable PFAS treatment is available at DTU Sustain within the project funded by Innoexplorer program (Innovationsfonden), with