12 educational-technology "https:" "https:" "https:" research jobs at University of Manchester
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building practical technology demonstrations of the fabricated silicon. This position is embedded within a long-standing research programme on vision sensors and neuromorphic computing circuits in
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fusion science & technology, in the Tritium Science and Technology (TST) research group at the University of Manchester. The TST group conducts research focused on tritium behaviour in materials, tritium
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to establishing an academic career in nuclear science or engineering. You will be responsible for: Plan, develop and conduct world-leading research Win external funding for research Supervise postgraduate and
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engineering. You will be responsible for: Plan, develop and conduct world-leading research Win external funding for research Supervise postgraduate and postdoctoral researchers Engage with the nuclear sector
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gene test results would find acceptable. It will also entail supporting various other new and developing projects. The post will involve working with people in a healthcare setting as well as healthcare
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care settings and a keen interest and/or experience in digital health technologies research. This position offers the opportunity to contribute to research on the implementation of therapeutic robotic
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information-security approvals required by the programme, and engage with internal University stakeholders (IT, HR, Teaching & Learning, faculties) and external partners. We welcome candidates who bring diverse
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nanoparticle-enabled technology to investigate the relationship between brain pathology and the blood proteome. You will be responsible for: Undertake research (preparing, setting up, conducting and recording
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ambition in their ideas, and want to develop potentially transformative, high-impact research. We anticipate at least 4 of these prestigious Fellowships to be offered. Each Fellowship is for an initial 4
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to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics, metabolomics/proteomics) – including