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with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected
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encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world
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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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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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/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
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PhD and Masters by Research projects on Russian, Slavonic, and Russophone-related topics. Russian language courses are taught at all levels, from beginners to advanced, by highly experienced language
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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 would benefit from a
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extended.) Person Specification Essential Criteria: Qualifications A good first degree in Mathematics, Physics or a related subject. A PhD (or be close to submission) in Applied Mathematics, Solar Physics
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literature review methodologies, and have a good command of research knowledge relevant to Contextual Safeguarding. Research experience, including from their PhD, is essential, however we are open to