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scientific computing, to name a few. Modern LC applications rely heavily on accurate and efficient mathematical modelling of confined LC systems. Typical questions are - can we theoretically predict physically
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Monitoring Duties & Responsibilities: Build early warning and clinical deterioration prediction models Develop continuous clinical risk trajectory modeling frameworks Model time-series data such as vitals
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-Preserving Federated Learning: Establishing secure, decentralised architectures for training predictive models on sensitive medical and industrial datasets without compromising data integrity. Propelled by
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, product management work, and and leadership responsibilities • Familiarity with artificial intelligence and machine learning approaches, including predictive modeling and precision analytics applied
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research communities. Applicants are invited to propose a research project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques
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the Sustainability Institute at University College Cork. UCC invites applications for a Postdoctoral Researcher with strong expertise in fault detection, diagnostics (FDD), and preventative/predictive maintenance
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transitions in and out of campus housing, accurate data reporting, and collaborative partnerships across departments. As part of our integrated residential education model, you’ll work closely with professional
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reputation and publication record in consciousness science, psychedelic science, predictive-processing, computational modelling, and integrative theoretical work. You will have a proven track record of
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the scientific supervision of Professor José Carlos Magalhães Duque da Fonseca. Grant duration: Initial duration of 3 months, with the predicted starting date in april 2026, on an exclusive basis eventually
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applicant will work with the ReXIl team, AIML, and 4DMedical to turn data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease