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expertise. Demonstrates experience in digital pathology and image analysis. PhD in Cancer Research or similar. Familiarity with AI/ML concepts. Evidence of active participation in breast cancer research with
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better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: We are looking for a highly motivated and hardworking Prae Doc (PhD student) for 4
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this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform
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, including subcellular fractionation, live-cell imaging, RT-PCR and ELISA techniques. Successful candidate will become a member of the CAPKR research team and be fully involved in a project entitled “Improving
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2025 (Flexible) Project Duration: 18 months (with a pathway to a co-founder position in a potential spin-off company). The project will end on December 31, 2026, and the employment contract will be valid
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group examines the offline processing of human memory. We integrate a variety of cutting-edge techniques including behavioural analysis, functional imaging, and brain stimulation. Together, these are used
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We currently have an opening for a
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check as an essential part of the recruitment process on all individuals that are offered a position with UKRI. This will include a security check and an extreme organisations affiliation check. The role
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Applications are invited for a fully funded PhD studentship in the area of autonomous systems (in particular, automated aircraft inspections using ground platforms) within the Faculty of Engineering
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Annual repatriation (home visit) allowance Free accommodation in China for self and family School or nursery/pre-school allowance Tax advice We are offering positions in teaching practice-focused modules