130 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" positions at University of London
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students, including supporting undergraduate and postgraduate research projects. This position will suit those keen to collaborate closely with our cardiothoracic surgery programme, which regularly performs
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occasions the rest of our programme portfolio to individuals, understanding candidate needs and navigating them through our offering and admissions processes. Who we are looking for Excellent customer service
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is the opportunity to perform; in an average year, the Academy runs a vibrant programme of around 500 events. Philanthropy plays a significant role in the life of the Academy and supports our mission
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, to deliver the aims of the programme. The PDRA will join a team working on extracellular vesicles as well as other aspects of inflammation resolution, with close attention to the exploit this science for
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Support the development and delivery of global programmes. Contribute to planning, execution, and review of global experiential programmes. Work closely with the global experiences team, programme office
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. The appointee will be expected to develop their own research projects within the context of the overall research programme and obtain independent research funding to support their research. The post holder would
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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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daily work. Educated to A-Level standard or with equivalent experience, the successful post holder will have the ability to make decisions and work as part of a team, and plan, manage and prioritise
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages