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the Construction Management and Building Informatics Research Group, Department of the Built Environment at Aalborg University in Aalborg Description The generation and accumulation of waste is a global problem for
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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-Petersen, Department of Biology, E-mail: rhpetersen@bio.ku.dk , Direct Phone: +45 26941565. The PhD programme A three year full-time study within the framework of the regular PhD programme (5+3 scheme
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7 Apr 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Civil and Mechanical Engineering (DTU Construct) Research Field Engineering Computer science Researcher
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background in computer science, chemistry, physics, materials science, or a related field. Experience with deep learning frameworks, preferably in the context of generative models. Experience with atomistic
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for materials science and biotechnology; however, neutron scattering and imaging studies are strongly flux-limited. Our aim is to develop a neutron optics prototype, a so-called nested Wolter condenser
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Do you have an interest in working at the intersection of glass science, computational chemistry, and materials science to develop fundamental understanding within a novel glass family? If yes, we
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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“problem animals,” focusing on everyday entanglements between interventions, animal biology, and shifting perceptions of an “intolerable nuisance”. Cases could include (but are not limited to) rats, Iberian