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Federated learning (FL) is a privacy-preserving distributed learning paradigm that allows different clients to create a shared AI models without having to share their data. Despite these advantages
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a relevant PhD. in Civil Engineering. Specific, relevant research experience in population-based SHM of bridges to include: Proven track record of working with infrastructure owners to organise field
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
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demonstrate you have: Hold at least a 2:1 honours degree in Mechanical, Aerospace engineering, Mechatronics or closely related discipline. Have, or be about to obtain, a relevant PhD in Mechanical, Aerospace
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) or a Master’s degree in a social science discipline. PhD in a relevant subject. At least two years’ relevant research experience working on a project that relates to education, skills and the knowledge
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About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have or be about to obtain *a relevant PhD in a
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, collaborations, and outreach. About the person: Candidates should demonstrate the following: Have a PhD in Materials Characterisation. Established expertise and proven portfolio in materials characterisation
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candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have or be about to obtain (evidence of submission or awaiting viva exam) a PhD in
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relevant PhD in a biomedical field of laboratory-based research e.g respiratory biology, immunology, biochemistry, or cell biology (*must be obtained within 3 months of commencement of employment) Have