7 post-doc-machine-learning PhD positions at Technical University Of Denmark in Denmark
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prerequisites): Molecular dynamics (MD) and Density Functional Theory (DFT); Protein engineering; Aptamer design/optimisation; Molecular biology; Graphene. DC13: Structural engineering of bioreceptors
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student will become part of a team at DTU with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning in Photonic Systems
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industries. This is a highly interdisplinary projects where the PhD student will learn and develop skills in sustainable material design, membrane technologies, prospective life cycle assessment, and
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sampling and characterization methods to analyze the composition of current footwear. This includes applying advanced analytical techniques to assess materials in both pre- and post-consumer shoes
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Website https://sustain.dtu.dk/en/ Street Bygningstorvet, Bygning 115 Postal Code 2800 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo