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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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relevant platforms. Candidates should hold a PhD (or equivalent) in Chemistry, Chemical Engineering, Materials Engineering, or a closely related field from a research-led university. Advanced knowledge in
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Trust) to develop, and test developed systems. The candidate is required to hold a PhD (or have submitted your thesis before taking up the role) in computer science/Electronic and Electrical Engineering
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of fibre-optic sensing in the existing communications network and leveraging AI-driven solutions for real-time event detection and infrastructure monitoring. The successful candidate will be at the forefront
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proposals, including publications in leading journals and other relevant platforms. Candidates should have either obtained or submitted a PhD (or equivalent) in Civil, Mechanical, or Materials Engineering, or
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ongoing development of communication updates for web, social media and networking Promote equality and value diversity, acting as a role model and fostering an inclusive working culture Support the work
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/ ) aimed at pushing the boundaries of fibre-optic sensing in the existing communications network and leveraging AI-driven solutions for real-time event detection and infrastructure monitoring. The successful
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PhD, but may also have been achieved via other research experience, normally supported by a relevant postgraduate degree (e.g. MSc in Health Psychology, digital health or computer science). Successful
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior