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learning (FL), where multiple UAVs collaboratively train artificial intelligence models without sharing raw mission data. This supports privacy and efficiency, but it also creates a serious security risk: a
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capable of integrating quantum key distribution methods and embedding post-quantum cryptographic techniques within the framework. Develop a synchronisation mechanism to combine multiple, differently-paced
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of £26,000 per annum for 3.5 years, aligned with the uplifted DFA nuclear stipend. The studentship will only fully fund applicants who are eligible for Home fees with relevant qualifications. Applicants
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patients, while aligning with GSK R&D strategic priorities. Who you'll be working with: The role is based in the Department of Medicine, working in the lab of Prof. David Thomas within the Cambridge
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covering letter and CV, please state how your interests and experience relate to the project. You must submit one application per studentship, you cannot apply for multiple studentships on one application
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is seeking to make an appointment in one of the following areas aligned to strategic research and teaching priorities: Design with a focus on space engineering Digital manufacturing, sustainable
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criteria Good understanding of data protection and patient confidentiality. Previous management or organisation of research projects, clinical trials and multiple sites. Ability to work with clinical teams
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the heart. The project offers opportunities to work across multiple disciplines, including: Machine learning and artificial intelligence Biomedical signal processing Computational modelling Clinical
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publication pipeline with a clear candidate role and deliverables, Team-based supervision and transparent shared responsibilities, aligned with recognized principles of quality doctoral education, Ongoing
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salary of about £42,000 /year, family support and mobility allowance excellent research facilities comprising state of the art tissue culture facilities, access to multiple core facilities including