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such as a continuous-moving attackers delivering a distributed denial of service, spoofing, man-in-the-middle attackers. This PhD research project aims to design and develop the first of its-kind Moving
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Tiny Machine Learning (TinyML). The role will focus on the design and development of battery‑less, ultra‑low‑power IoT systems capable of executing secure TinyML‑based visual perception algorithms
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(Employer of Record), CoR (Contractor of Record), blockchain, and payment processing while focusing innovation efforts on algorithmic demand generation and direct end-user acquisition. This KTP will directly
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leadership for the University’s doctoral provision (PhD and Professional Doctorates such as DBA) and postdoctoral researchers (ECR) support, ensuring academic quality, student experience, regulatory compliance
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Postdoctoral Research Associate who will primarily contribute to the project. The successful applicant will be ideally educated to PhD level in Computer Science, Artificial Intelligence, Software Engineering
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experience in independently driving research projects on a day‑to‑day basis is required. Applicants who have recently submitted their PhD and are awaiting award are welcome to apply. This is a 4‑year fixed
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completion of a PhD. Grade 9: A more consolidated research profile demonstrating leadership, funding success and international engagement. A pathway to a permanent academic role - Subject to progress, Fellows
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establishing yourself in the field. Candidate Profile: A PhD in Power Electronics is desirable or a minimum Masters level qualification with some industry experience (both in power electronics). Skills
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mathematics student society activities, and to engage externally through contributing to industrial networks, masterclasses and summer schools. You will hold, or be close to completion, a PhD in Mathematics or
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the intervention’s effectiveness. The ideal candidate will have a PhD (or be near completion) in Psychology, Nutrition, Dietetics, or a related field, and experience working with non-academic stakeholders, as