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Field
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Medicine Clinical Research Facility (EMCRF) (https://www.kennedy.ox.ac.uk/news/oxford-and-gsk-launch-experimental-medicine-collaboration ). This will allow testing of multiple medicines across cellular
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capabilities, and particularly the Experimental Medicine Clinical Research Facility (EMCRF) (https://www.kennedy.ox.ac.uk/news/oxford-and-gsk-launch-experimental-medicine-collaboration). This will allow testing
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expanding its focus to space-based missions. We are contributing to the High Energy cosmic-Radiation Detection (HERD) experiment, a next-generation detector for the Chinese Space Station. In parallel, we
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details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is
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We are looking for a postdoc to join our team at the Division of Signal Processing and Biomedical engineering, Department of Electrical Engineering. Become part of our innovative team and contribute
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 11 days ago
. - COMPETE2030-FEDER-00731800, Operation No. 16163, funded by COMPETE2030 and national funds (FCT) under Notice no. MPr-2023-12. Host Institution: i3S - Instituto de Investigação e Inovação em Saúde, Porto
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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systems based on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal
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on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed optimization of machine learning workflows. Collaborating