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to develop an SDT that simulates real-time system operation in a dynamic virtual environment. Online Implementation: Deploying the SDT on an evolving online platform, continuously updated with new data and
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framework and execution of projects > Understanding of financial products, market dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Jul-25 Location: Irvine, California Type: Postdoc Categories: Academic/Faculty Medical - Research Internal Number
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in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
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one of the UK’s leading tribology research centres, home to over 50 PhD students working in a highly collaborative, dynamic environment. You’ll benefit from working alongside top academics and fellow
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research, and an active programme of research seminars for both students and staff. The successful candidate will join a dynamic, supportive, and collegial faculty, recognised for excellence in teaching
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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for Security Operations Centres (SOCs) while pioneering strategies for quantum-era resilience. This project sits at the intersection of Artificial Intelligence, Cybersecurity, and Explainable Computing. It