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design to develop new high-potential organic flow battery electrolytes with unprecedented stability. The computational work will be done in close collaboration with an experimental counterpart
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competences within computational modelling, optimization and integration of thermal energy storage technologies – such as large water pits and phase change material storage. You will work with colleagues, and
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some background in one or more of the following areas: Mathematical Optimization / Operations Research Reinforcement Learning, Machine Learning, and/or Multi-agent systems Game Theory Algorithms
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executing experimental work in the laboratory. Assess the biocide tolerance on a range of culturable and non-culturable bacteria including Campylobacter . Dissemination of your research through publications
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, biologists, clinicians, and engineers. The PhD fellow will be primarily based at DTU Health Tech and perform animal-related work in collaboration with Hvidovre Hospital and the DTU BioFacility
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of building blocks for non-covalent assembly supramolecular polymers. Your work would include: the design, organic synthesis and characterisation of monomeric molecular building blocks; enzymatic synthesis and
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energy storage molecules. Solvent effects on catalysts, substrates, and their interactions, on the ensuing conversion pathways, and on their branch-points will be explored. Your work will strengthen
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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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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passionate, curious, and driven individual, committed to accelerating the green transition by advancing autonomous solutions for wind power operations. You thrive on solving complex problems, ask bold and