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, solid-state NMR and electron microscopy. Work closely with Professor Georg Madsen and colleagues at TU Wien and with the CENSEMAT team at Aarhus University, including participation in regular shorter
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advantage Familiarity with large biological datasets and high-performance computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment
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Computing , Mathematics , Physics Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
and data from methods such as total scattering/pair distribution function analysis, diffuse scattering, diffraction, solid-state NMR and electron microscopy. Work closely with Professor Georg Madsen
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computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment Proficient in written and spoken English About us The Center for Quantitative
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learning model development (e.g., CNNs, UNets, Transformers). Strong programming skills in Python and hands-on experience with deep learning frameworks in PyTorch. Experience with scientific computing
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Aarhus University with affiliated institutions. Contact information For further information, please contact: Associate Professor, Patrick Biller, [email protected]. Deadline Applications must be
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Computing Section at Aalborg University’s Department of Computer Science. We provide an ambitious and supportive research environment focused on the design and evaluation of interactive systems that
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computing are encouraged to apply. Who we are The Department of Ecoscience at Aarhus University is engaged in research programs and advisory work covering the major biological sub-disciplines. We
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approximately 275 academic and technical staff, as well as PhD students, distributed at two geographical locations in Aarhus and Roskilde. The Section for Wildlife Ecology is situated in Aarhus and