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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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Job Description Apply now Job Title: Postdoctoral Fellow PhD Division: Molecular and Human Genetics Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $74,263 FLSA Status
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PhD Studentship: Electrical Machine Architectures for Next-Generation NetZero E-Mobility. the University of Nottingham This project offers an exciting opportunity to undertake cutting edge research
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at the Division of Neurophysiology at the Center for Brain Research is looking for a part-time (30 hours per week) PhD candidate in Neuroscience (m/f/x). The project explores how astrocytes contribute to synaptic
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enabling 3D flux paths, novel cooling strategies, and increased architectural flexibility. Aim This PhD project aims to explore and optimise new electric machine topologies that go beyond conventional 2D
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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formats available in conventional hardware are often too accurate for the needs of machine learning: they do not improve the quality of the trained model but may deteriorate it by causing overfitting
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. Alternative approaches are graph-based molecule reaction space sampling and generative machine learning as they provide a path to new synthetic data that can form the basis for a large-scale database of
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Armed Forces, critical military studies, lobbying, defence spending, etc.). This PhD studentship is only available to UK/Home students. Details of the post This studentship will commence in October 2025
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become the bottleneck in achieving optimal performance and trustworthiness. This project will focus on how a federated multi-task learning framework can be effectively designed and optimised to address