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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Profiling hardware and feasibility of new
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. The research will also investigate how unsupervised, or semi-supervised learning approaches can be leveraged, given the scarcity of labelled malicious encrypted IoT traffic datasets. Device Profiling and
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and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent command of written and spoken English (C1 level
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the research group (e.g., organising our weekly meetings, contributing to our social media accounts, administering internal group information) This is part of your existing profile: Completion
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Profile: We seek someone with strong mathematical maturity in control theory, dynamical systems, or applied mathematics. Familiarity with nonlinear systems analysis, graph theory, and formal methods (e.g
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approach is a method that is both formally rigorous and practically efficient for the verification/validation of quantum devices. Candidate’s profile Knowledge of quantum computing and an understanding
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for these architectures. This will also guide hardware design for such devices and tackle crucial challenges in networked systems and entanglement transmission. Candidate’s profile Knowledge of quantum computing and an
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production. Candidate Profile: We are seeking an ambitious and highly motivated candidate with a strong background in applied and quantitative ecology, environmental science, biology, or a related field. The
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high-performance computing resources. Finally, this project offers the opportunity to launch a high-profile career in the UK nuclear industry. Candidate requirements Applicants must hold/achieve a
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on evidence of readiness to pursue a research degree. If English is not your first language, you need to meet this profile level: Profile E Further information about English language requirements and profile