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-related demand- and supply-side interventions. As part of these efforts, the successful candidate will be expected to engage with other stakeholders to develop business-science alliances and initiatives
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months follow-on funding to EPSRC-funded research students after they have submitted their PhD. The EPSRC Postdoctoral Pathway scheme (formerly known as Doctoral Prize scheme) is intended to help
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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following skills and experience: Essential criteria A PhD in Cell or Molecular Biology, Immunology or a related subject * Experience of mammalian cell culture (both primary and cell lines) Excellent knowledge
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We are seeking a full-time Postdoctoral Research Assistant to join the Translational Bioelectronics group, led by Prof Tim Denison, at the Department of Engineering Science (Old Road Campus Research
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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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collection and analysis, and co-authoring outputs for academic and practitioner audiences. You will have: (A = Assessed at the Application stage / I = Assessed at the Interview stage) A PhD in (Secondary
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interdisciplinary research with leading academic groups across neuroscience, physics, and computer science, contributing directly to the future of neuromorphic systems. Key Responsibilities: Differentiate, grow and
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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into human biology and may in the future lead to improved understanding of infertility and placenta-related complications of pregnancy. Applicants must hold a PhD in cell, developmental or reproductive biology