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and microbial properties using a range of experimental approaches and be competent in data management. You should hold a BSc in a relevant science and be willing to work in the field. You will be part
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. - Monitoring performance data and evaluating the impact of projects to shape future activity. - Helping improve how the department collaborates using MS Teams and project management tools. What we’re looking
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environment. Key responsibilities include Applying cryo-EM and integrative structural biology approaches to study regulatory protein complexes Contribute to experimental design, data analysis, and
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with expertise in areas such as Machine Learning and Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications (e.g., health, cybersecurity, robotics, or business
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research on this topic. Projects have been designed to generate tangible outputs such as published papers, software or data sets within a 12-month period. The fellowship should not be viewed as an
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will also work alongside other team members to examine patients’ responses by analysing EEG and behavioural data. Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully
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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation
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in a professional environment such as health, social care, sport or education, and confidence using digital systems to manage information. Experience supporting learners and completing administrative
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Working in the Oxford Brain Bank (OBB) based at the John Radcliffe Hospital, you will be responsible for the governance of the tissue bank as well as for overseeing the processes of sample and data
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data. You will have the opportunity to develop and apply specialised experimental procedures, contributing to vital research that defines cell types and molecular interactions shaping human spleen