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many scenarios for the future. In particular, we will use AI-based methods as part of the solution process to generate scenarios and guide the search. We will benchmark the developed methods against
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into its logical sub-components. This process relates to ML concepts such as causality, representation learning, inductive bias, regularization, graph neural networks. Contribute to new machine learning
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, experimental psychology, audiology, cognitive science, physics, electrical engineering, or a similarly relevant discipline. Experience with signal processing and quantitative methods (statistics or machine
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at the University of Copenhagen. Two postdoc positions in Cyber-Physical Systems - DTU Compute Denmark Posted on 03/20/2024 Join our team as a Postdoc in Cyber-Physical Systems at DTU Compute, focusing on cutting
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, Digitalisation, AI/ML and decision support systems (i.e., cyber-physical systems), Materials and monitoring, Service life integrity assessment and end of life scenarios, Project valuation and Life Cycle Cost
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-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and computational chemistry or physics will be preferred
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of electrical devices based on high-mobility III/V semiconductors High level of understanding of material science and electrical transport physics. Experience with electrical characterization of devices, ideally
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). You must have a background within Computer Science, Applied Mathematics, Physics or related fields. A track record of publishing interesting work within some of those field. Experience with machine
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for potential commercialization. Candidates should have (or being close to achieve) a PhD degree in physical chemistry, polymer science or similar, and with a strong background in experimental research. A strong
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in physical chemistry, polymer science or similar, and with a strong background in experimental research. A strong interest in interdisciplinary research. A desire to work across different laboratories