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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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sustainability of technical careers. We are also proud signatories of the Armed Forces Covenant and welcome applications from service people to work in our operationally focused service. This role forms part of
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and under load. Multi-scale modelling based on continuum mechanics and hydrodynamics informed by experiments and molecular modelling. High-throughput data analysis and image processing using Python
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Portfolio. This role exists to translate the strategic vision and intent into reality, ensuring the consistent and effective operation of core EPMO services, including governance routines, triage and
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, qualitative and creative research methods, this research is deepening understanding about the complex psychosocial, cultural and familial processes that influence farm women’s health and well-being across
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are also proud signatories of the Armed Forces Covenant and welcome applications from service people to work in our operationally focused service. This role forms part of our Technical Career Pathway
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of teaching and learning material and delivery across a range of Creative Writing modules. The undergraduate modules that you will be expected to teach are likely to include Write after Reading (EAS1042) and
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-day operational management of their area and will be expected to take a lead role in increased effectiveness and efficiency of processes and procedures to support the research objectives
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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