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computer-based tools. To complete in-house MRI safety and operator training, then acquire structural and functional magnetic resonance imaging data on participants using a 3T MRI Scanner To complete in-house
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students. Selection criteria: Relevant mechanical or production engineering qualification or equivalent experience. Extensive experience in high-precision machining, including manual and CNC operation
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: Experience implementing Quantum Monte Carlo methods. Experience applying Machine Learning methods to scientific problems. About the School The School of Physical and Chemical Sciences is one of the UK’s elite
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Why work at Caius? Benefits include: Generous Pension Scheme; 3x death in service benefit Health care cash-plan 33 days of annual holiday (inc. Public Holidays) Free on-site lunch provided Car
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are an integral part of the student journey that starts at enrolment and continues beyond graduation. Our teaching team are subject specialists committed to delivering active, social, applied and inclusive learning
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mathematical approaches. Mathematical models will be developed to improve bright flight modelling of fireballs from both meteorites and space debris. Machine learning will be employed to detect satellite streaks
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About the role: The Head of Ed Tech and AV Services provides strategic leadership for learning technology, digital education, and AV-enabled teaching environments across the Faculty. What you would
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development of our undergraduate and postgraduate curriculum, both on campus and through distance learning. You will play a key part in maintaining the School’s reputation for teaching excellence by engaging in
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a strong focus on delivering quality teaching and learning and a campus-wide focus on providing a sector-leading student experience. As a culturally rich university with a deep commitment to the
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research