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. You will be predominantly based in theatre, assisting our diverse referral caseload, from Soft Tissue Surgery, Neurology, Orthopaedics, Diagnostic Imaging, Oncology, Internal Medicine, Cardiology, and
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in Python, working with high-performance computing clusters, and implementing reproducible research workflows. The position requires expertise in prokaryotic genomics, strong statistical and
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advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 hydrogenation. You will work to get new insights into the reaction mechanisms in plasma-catalytic CO2
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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award `Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists¿, a project
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Foundation. Initially funded for five years, it puts justice at the heart of sustainability transformations: the Centre¿s motivations are to support a just transition to net zero by transforming the processes
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for Health and Care Excellence (NICE) as part of the Technology Appraisal process and other NIHR HTA and evidence synthesis projects as necessary. You will also have the opportunity to contribute to other
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, including engineers and veterinarians, to assess the effectiveness of the AG ARC machine. About You This position is ideally suited to a microbiologist with strong laboratory skills and an interest in applied
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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epidemiology, data science, and policy to produce high-quality, policy-relevant evidence with real-world impact. You should have a PhD (or near completion) in public health, epidemiology, data science, applied
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. An ability to use diverse methods in the pursuit of applied knowledge is preferred and a PhD, completed or near to completion, in a relevant discipline required. You will have experience of working