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of the GDPR, Federated Learning (FL) has emerged as a leading privacy-preserving technology in Machine Learning. Despite its advancements, FL systems are not immune to privacy breaches due to the inherent
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science, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience
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of objects relevant to AWE’s mission. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related
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undertaking the following modes of study: Subject restrictions This funding is available to students undertaking study in: Accounting and Finance Business and Management Science, Technology and Innovation
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Funded PhD Studentships at the EPSRC Centre for Doctoral Training (CDT) in Offshore Wind Energy Sustainability and Resilience EPSRC Centre for Doctoral Training Funding Available Students Worldwide View DetailsEmail EnquiryApply Online
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) in a relevant subject (Physics, Chemistry, Materials Science, Chemical Engineering), experimental track record and willingness to learn. Home rate fees are fully funded. Applicants from overseas will
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Please contact the supervisor, Prof Matt Gibson (matt.gibson
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to the groups research culture, focussed on team work. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering
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for the best opportunity to be considered. How To Apply Apply online by clicking the 'Apply' button, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page
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must have a B.Sc. in engineering or a related area and must either have or close to having a Master’s degree (must be completed by the time of the start of the iCASE Award). A demonstrated background in