54 computational-material-science PhD positions at Technical University of Denmark in Denmark
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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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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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, among others, experts with backgrounds in physics, chemistry, materials, and computer science. The section comprises four PIs and approximately 25 PhD students and postdocs. Qualifications: • Good
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partner universities in Denmark as well as abroad. The ideal candidate will bring to the project: MSc in Civil Engineering preferably with focus on Wind Engineering, Computational Fluid Dynamics and/or