225 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "J. F" Postdoctoral positions in Denmark
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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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, high-throughput screening, and state-of-the-art carbohydrate analysis, to validate computational designs and generate data that advances our knowledge of enzymatic carbohydrate synthesis towards
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neuroscience, objective measures of auditory function, computational models of hearing, hearing-instrument signal processing, and multi-sensory perception. Our goal is to advance the understanding of the human
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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part of a dynamic academic community of research, education and innovation within pharmaceutical sciences bridging health sciences and life sciences. Information on the department can be found at: https
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Postdoctoral Position in the Research Unit for Robophilosophy and Integrative Social Robotics (RISR)
closely with the three lead researchers of the project, Professor Johanna Seibt (RISR , philosophy), Associate Professor Majken Kierkegaard Rasmussen (Digital Design, Interaction Design research program
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Postdoctoral Position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling A postdoctoral position is available at the Department of Computer Science, Aalborg University Copenhagen
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with a background in either communication, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information