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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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, sophisticated machine learning approaches etc.) and research profiles that build on current strengths of the School , faculty, & university. The University of Surrey is a top-20 UK university, located on a
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topics such as statistics, high performance programming, machine learning and using data to constrain cosmological models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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» Computer engineeringEducation LevelPhD or equivalent Research FieldEngineering » Communication engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD (or equivalent) in computer and
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Science, Machine Learning, Finance, FinTech, Economics, or a related field. Candidates should demonstrate knowledge of Large Language Models, generative AI, and machine learning, with interest in financial
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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diffraction data where the information extends towards 3-d space. Machine learning offers promising approaches for the solution of complex problems of disorder, ultimately aiming at general and automated
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collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a PhD degree in human-computer interaction, computer
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individuals and patients. These projects involve large-scale neuroimaging data collection at 3T and 7T, computational modeling of brain responses using machine learning methods, and cross-institutional clinical
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imaging analysis techniques in biological systems, including cell and tissue samples. • Familiarity with conventional and machine learning based image processing approaches. • In-depth knowledge