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predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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related subject. A PhD (or be close to submission) in Physics, Mathematics or a related subject. Experience Experience in conducting high quality academic research. Strong publication record in peer
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the UK's DRI landscape - this includes research software engineers, platforms experts, PhDs, PDRAs and academics - and build up a thriving community which is committed to world-leading research
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expected to be within 8 years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early career academics who
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career academics to acquire a strong and well-rounded foundation to support future applications for substantive academic roles at Durham or elsewhere (no guarantee can be given that a permanent role at
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Engineering. We welcome applications from those with research and teaching interests in the broad field of electrical engineering, power electronics, machines and drives. We are particularly eager to hear from
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note the Essential Criteria requires a PhD in modern world history). This post offers an exciting opportunity to develop internationally excellent research and teaching while providing unrivalled
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protocols. Successful applicants will, ideally, be in post by 1st September 2025. Person Specification Essential Criteria: Qualifications A good first degree in Biology. A PhD (or be close to submission) in
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/research/institutes-and-centres/advanced-instrumentation Candidates should have a PhD in physics or a related subject and an established record of research at an internationally competitive level.They should