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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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scattering with machine-learning models trained on plant mutants, the project will shed new light on the cellular-level biochemistry that governs plant growth, development, and stress responses. This is a
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a much stronger focus on experiential learning. This includes significant amounts of small group task-based working and research projects as part of the curriculum. About you You will: Possess
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-quality research outputs. You will be to support the design, delivery and production of teaching and learning material for a range of core postgraduate modules within our MA Education programmes. You will
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automatically slotted into any new flexible working pattern required to support the service. The ideal candidate will have good IT support skills and must be willing to learn and develop themselves in this area