96 Computer-Science-"https:"-"https:"-"Simons-Foundation" Postdoctoral positions at Technical University of Denmark
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Job Description Are you passionate about food and flavour? Eager to help tackle some of our most pressing global challenges? Excited by the idea of working and learning at the intersection of science
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research project funded by the Novo Nordisk Foundation, where we will develop and implement a focusing neutron optics prototype. Neutrons are inherently excellent probes for materials science and
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GenAISIS, leading the coordination of the project’s pilot activities and focusing on developing trustworthy AI foundation models for the secure operation and planning of real transmission and
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spectroscopy, microfabricated reactors, catalysis, cluster science, and computational modelling come together to reveal how catalysts function at the atomic scale. This is an exceptional opportunity for
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disciplines. We are looking for : A strong research background in computer science, machine learning or a closely related field. An interest in AI for Science but bioinformatics background is not required
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security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Compute – Department of Applied Mathematics and Computer Science – is an
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postdoctoral position is part of a Novo Nordisk Foundation funded project investigating the Non-Scalable Quantum Size Regime in Catalysis. You will take charge of the electrochemical activity testing of
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background checks may be conducted on qualified candidates for the position. DTU Compute DTU Compute – Department of Applied Mathematics and Computer Science – is an internationally recognised academic
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career paths at DTU here . Further information Further information may be obtained from Irina Borodina, [email protected] You can read more about "Yeast Metabolic Engineering" at https://bright.dtu.dk If
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. Candidates with a strong background in theoretical and computational chemistry or physics will be preferred, but candidates with a solid background in statistics, machine learning, computer science