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Job Description Are you motivated by the opportunity to elucidate mechanisms in protein-protein interactions? Do want to apply your skills in molecular biology, protein design and characterization
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activities. A strong background in computational methods is an asset. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one
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will be jointly supervised by Associate Professor Michael Bruhn Barfod and Associate Professor Dario Pacino. We are looking for candidates with a master’s degree in engineering, computer science, applied
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scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data on the evolution of internal metal
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Job Description If you are looking for an exciting opportunity for a PhD, we at Materials and Surface Engineering section, Department of Civil and Mechanical Engineering, Technical University
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at the intersection of engineering, data, and emerging technologies. DTU Wind and Energy Systems, in collaboration with leading industrial and academic partners in renewable energy, including NADARA, a major European
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of Bayesian optimisation Experience of numerical computing for optimal control, dynamical systems, Bayesian inference and Bayesian optimisation. Experience of running controlled fermentation experiments