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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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technologies such as single-cell transcriptomics, cerebral organoids, and advanced imaging to build our understanding of the biological processes behind the earliest stages of neurodegeneration and ageing
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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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processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed
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Investigating the role of Ect2 in pancreatic cancer cell proliferation and motility School of Biosciences PhD Research Project Self Funded Dr Helen Matthews Application Deadline: Applications
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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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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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term until 30 September 2026 About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular
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engineering solutions for healthcare applications, involving the processing, integration, and analysis of diverse data sources. Picture healthcare as a jigsaw puzzle where every piece tells part of your story
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skilled and analytical Energy Systems Engineer to join our core R&D team. As the third member of our technical team, you will play a pivotal role in advancing our technology from a laboratory prototype to a