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reverse genetics for generating recombinant influenza viruses, proximity labelling, and cross-linking mass spectrometry. The positions would suit enthusiastic and highly organised postdoctoral scientists
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This is an exciting opportunity for an enthusiastic and self-motivated scientist to join the lab of Dr Katerina Toropova. The project aims to elucidate the molecular mechanisms of dynein-2 transport
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work on the PANGEA-HIV project, analysing viral sequence data to assess how effective broadly neutralising antibodies may be against current HIV strains in Southern Africa. Second, you'll support early
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group on the characterisation and optimisation of the hBN material and defect formation, which we perform in collaboration with a wide group of material scientists and electron microscopists
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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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We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new
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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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knowledge and tools for non-equilibrium flows for hypersonic vehicles. The research will provide unique and high-quality experimental data for expanding high temperature flows. Alongside this, the proposal
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completion of a PhD in Psychology or a relevant area along with experience of collecting data from research participants. With excellent data analytic skills, you will be familiar with SPSS and at least one
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model and data biases; (2) build and evaluate XAI tools for external auditing and red-teaming; (3) generate predictive explanations without accessing model internal; (4) providing insight into model