106 algorithm-"Multiple"-"Prof"-"U.S" "NTNU Norwegian University of Science and Technology" positions in Denmark
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about what goes on "behind" the feed in terms of algorithms, advertising etc. but most of all how to create engaging - and sometimes viral - content for a larger organisation Your place of employment: SDU
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to engage in pioneering research, collaborate with a large, dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and technologies. This is an exciting
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multiple documents in the same category (eg. diploma and transcript of records), you will have to collect the documents in one file (pdf or word). The University of Copenhagen (UCPH) is in the process of
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to have experience with: Phase equilibrium calculation algorithms and their integration into CO2 capture simulation Thermodynamic modeling of phase equilibrium and thermophysical properties related to CO2
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research in innovative algorithms for the analysis and interpretation of medical image data to support computer-aided disease diagnostics and intervention planning. have an established track record
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achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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for behavioural and security properties; efficient algorithms for model checking, learning and synthesis; improved explainability and safety of machine learning models, e.g. by integrating neural and symbolic
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an international, interdisciplinary research environment. At DTU, you will be part of the PCAS, and you will find yourself among multiple PhD students and senior researchers working on multiple aspects
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better and faster decisions when assessing funding applications, ensuring the efficient and unbiased elimination of poor applications? This question can be addressed through training algorithms on past