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collaborate with other technical groups working on the design. The successful candidate will also have opportunity to conduct experiments and machine development activities on the existing accelerators. The key
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years part-time; Thesis of 30,000-40,000 words Apply now Overview Overview Our research strengths include: Scottish military history Medieval warfare Early modern warfare The Napoleonic Wars Colonial
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and secure environment. You will work in the control room, handling both emergency and non-emergency calls, and monitoring CCTV, car park systems and alerts via the SafeZone app. Each call is managed
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/diffusion tensor MRI. Experience with machine learning/deep learning/AI methods. What we can offer you: Be part of a team developing cutting-edge simulation technology having real-world impact. Grow your
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leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of social and sports clubs Discounted bus travel and Season Ticket travel loans How to apply: Please
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deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
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and technical colleagues to ensure the data capability for CDDR is scalable, secure, and capable of supporting advanced analytics, machine learning, and large-scale data processing. Your expertise will
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. Experience solving diffusion or related equations by Monte Carlo methods. Knowledge of MRI/diffusion tensor MRI. Experience with machine learning/deep learning/AI methods. Be part of a team developing cutting
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-thinking team that values industry experience as much as academic knowledge. Teach and support motivated apprentices—over 25 currently enrolled and more joining soon. Play a key role in shaping future talent
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techniques, and participating in teaching reviews and quality assurance processes. We are particularly looking for candidates who are passionate about creating an outstanding lab-based learning environment