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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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-applicant team the PDRA will lead the day to day running of the project. The project includes four work packages: 1) policy review and workshops with key stakeholders; 2) in-depth mixed method case studies
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well as clinical phenotyping in participants. The work will involve close collaboration with other team members, driving the programme on aetiopathology of neuropsychiatric disease forward. It will also involve
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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,(or close to completion) in a relevant discipline together with experience in LC-MS/MS proteomics. You will have experience in advanced biochemical methods for surface proteomics/subcellular
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students and over 500 Single Honours undergraduate students. We offer a 3-year BSc degree programme in Biological Sciences and a 4-year MBiol, while also contributing to Natural Sciences. We also run a PGT
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to formulate and test hypotheses about how epigenetic factors control the life cycle of parasitic nematode, use transgenic and CRISPR methods to manipulate epigenetic regulators, and test the effects
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responsible for the development and implementation of a case study in a US or European city (to be confirmed), using ethnographic and qualitative case study methods under a cross-cultural research design
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responsible for the development and implementation of a case study in a US or European city (to be confirmed), using ethnographic and qualitative case study methods under a cross-cultural research design
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We have a rare and exciting opportunity for a Head of Data Engineering and Informatics to join the Infectious Diseases Data Observatory (IDDO), at the Centre for Tropical Medicine and Global Health