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Postdocs with experiments and contributing to the maintenance and characterization of iPSC-derived neuronal models. Your responsibilities will include assisting in daily lab operations, managing cell
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written reports, and contribution to academic publications. The post offers an opportunity to apply computer vision and remote sensing methods to pressing environmental issues and to work within an
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. The successful applicant will use a variety of imaging and computational image analysis techniques to generate a 3D morphometric atlas of post-embryonic stages of otic development in the wild-type zebrafish, with
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programme. This post will be predominantly patient focused, playing a key role in helping to deliver cutting edge gene therapy and experimental medicine trials. The ability to implement good clinical practice
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& multidisciplinary research programme focusing on evidence generation to further methodology research and to enable the design & development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR
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or desirable Stage(s) assessed at Bachelor’s or master’s degree in human-computer interaction, education, public policy, or other related discipline (or equivalent relevant experience) Essential Application
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and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust
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subject such as a BSc in Psychology, Computer Science, Data Science, Health Informatics, or another health-related field (assessed at application). Experience of working with large, complex multi-variable
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the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Degree in Engineering, Computer Science, Physics, or equivalent experience in a technical data/control systems role
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safe adaptations to overheating in children’s hospitals". This 8-month Development Award project (NIHR504238) is Phase 1 of a proposed two-phase research programme. It is funded by the NIHR Policy