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. The research will assess novel liquid biopsy tests for the early detection of cancer in people with Lynch syndrome, working within the Predi-Lynch collaboration (https://predi-lynch.eu/). Predi-Lynch is funded
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for Skilled Worker sponsorship under the UK Visa & Immigration points-based system. Information on alternative visa options is available on www.gov.uk. Our website https://www.sheffield.ac.uk/eee For informal
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. You will contribute to the UKRI-supported Centre for Heterogeneous Integrated Micro Electronic and Semiconductor Systems (CHIMES²) programme. CHIMES² is funded by the Department for Science, Innovation
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, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation
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, relating to craniofacial identification research and 3D digital avatars. You will require a 3D animation, CGI, computer science and/or anatomical modelling background. A knowledge of anatomy and 3D
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for next-generation intelligent audio IoT sensors. Your Role and Goals As a Doctoral Researcher, you will: Design energy-efficient digital in-memory computing circuits for on-chip AI inference, spanning both
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unique experimental platform developed in the Bakshi Lab (https://www.bakshilab.net/ ) that enables time-resolved measurements of individual bacterial cells throughout the phage infection process. The post
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for Skilled Worker sponsorship under the UK Visa & Immigration points-based system. Information on alternative visa options is available on www.gov.uk. Our website https://www.sheffield.ac.uk/eee For informal
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We are seeking to appoint a Research Associate in computational genomics and long-read transcriptomics to join the Gustavsson Group at the UK Dementia Research Institute at the University of
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university is a university established in 1992, or after. Excluding specialist providers. ** Calculated as the average of all questions, using registered populations. School of Computing and Engineering The