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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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are shortlisted. To learn more about the Institute for Health and Care Improvement and the Health and Care Research and Evaluation Service, please visit: yorksj.ac.uk/ihci For informal enquiries please contact
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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to work with Bath colleagues engaged in energy research across the University, including advanced mathematics, statistics, and computer sciences Further information This role is offered on a full time (36.5
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. Qualifications Minimum: Master’s degree in engineering or a related discipline (e.g., Mechanical, Electrical, Computer, Energy, Materials, Mechatronics). Preferred: PhD’s degree in a relevant field. Prior
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Commons is the campus centerpiece for collaborative teaching, learning, and engagement. The University of Denver Libraries are central to discovery and creative interaction among students and faculty, and
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– it is, in the words of Senator Fulbright, a means of fostering “leadership, learning, and empathy between cultures… It is a modest program with an immodest aim – the achievement in international
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Involvement and Engagement (PPIE) Lead. The project addresses the growing demands on glaucoma care by developing an AI-enabled triage platform that integrates retinal imaging, clinical data, and machine
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Learning about protein design and engineering Exploring cell-based and cell-free screening Applying high-throughput screening Utilizing bioinformatics, machine learning, and other computational approaches