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collaborators from AU Chemistry and DTU Physics and DTU Energy. At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD in Physics focusing on Materials Physics and
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» Materials engineering Engineering » Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 13 May 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of
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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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experimentation. The overarching goal is to create and demonstrate a set of tools that can be used for microstructural engineering of AM samples of the selected materials (SS316L, AlSi10Mg and possibly 17-4 PH
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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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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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
A PhD position affiliated with the project Packing Frustration in ABC Starblock Polymers is available. The PhD will primarily work with synthesis at DTU Chemistry. An ABC-miktoarm star block
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for optimal adaptation of the Danish water supply system to 2050. Who are we looking for? We are looking for candidates within the field of Earth and Environmental Science and/or Engineering. Applicants can
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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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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