747 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at University of Oxford
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vaccine platforms. You will provide support in the insectary work, and the related in vivo experiment and research work including research design, methodological development, and the analysis and reporting
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detail is taken care of. You’ll coordinate a diverse mix of events (including conferences, dinners, parties, meetings, weddings, performances, filming and more) across multiple venues, developing bespoke
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antimicrobial resistance and emerging infections. It builds on the achievements of major European projects, including COMBACTE, PREPARE, and RECOVER. As Clinical Research Coordinator, you will work under the
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projects. You will have highly developed problem solving and organisation skills, with a proven ability to manage multiple projects and meet competing deadlines. You will also have excellent interpersonal
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), Neha Potnis (Auburn), Courtney Leisner (Virginia Tech)) and Thomas Lahaye (Tübingen)) to investigate the effect of fluctuating temperatures on the outcome and evolution of plant-pathogen interactions. We
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of database specification documents (case report forms) that have been developed by the wider trial team, the primary role of the post holder is to use these to create data collection systems for trials
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demonstrate evidence of continuing professional development alongside excellent organisational skills with the ability to work flexibly and autonomously and contribute to / manage multiple projects at various
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drug and disease research in multiple projects in the group. The candidate is expected to lead a drug development project and support other group projects. This will include lab experiments, analysing
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academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines • Adapt existing and develop new scientific
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establish and validate microfluidic co-culture systems using human glomerular cells and benchmark these platforms against human kidney multi-omic and spatial datasets. These systems will be further developed