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data collation and analysis, as directed, assist with coding, compile a bibliography, and support production of a report. Main Duties and Responsibilities Perform the following activities in conjunction
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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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About the Role Queen Mary University of London is seeking an enthusiastic and committed non-clinical Lecturer to contribute to and lead high-quality teaching and scholarship within our postgraduate
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flexibility, rising uncertainties and complexity from rapid changing energy landscape. The successful candidate will have experience in: electrical and energy systems modelling, analyses, operation or planning
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This Research Assistant position supports a UKRI-funded research programme developing anatomy-driven artificial intelligence methods for cognitive and translational neuroscience. The role focuses
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experience in public engagement, health research involvement, or community partnership working to contribute to a high-impact project with strong potential for clinical adoption and real-world benefit. This
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 3 months ago
of infant object engagement and caregiver scaffolding during interactions with high cognitive load multicomponent objects (e.g. stacking tower, sorting box), but not low cognitive load single objects (e.g
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with academic colleagues and stakeholders, contributing to project reporting, publications and presentations, while helping to ensure research is delivered to a high standard and within agreed timelines
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with academic colleagues and stakeholders, contributing to project reporting, publications and presentations, while helping to ensure research is delivered to a high standard and within agreed timelines
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the Goodwin group focuses on the dual roles of flexibility and disorder in functional materials. The group’s current research programme is funded predominantly through two large grants: an ERC Advanced Grant