129 computer-programmer-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at University of London
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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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works under the direction of the Deputy Librarian. A staff development programme is available for the trainee, along with other Graduate Library Trainees in the University of London and beyond. For a full
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational
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of programmes at both undergraduate and postgraduate level. Using a data-orientated approach, the Student Recruitment and Marketing Manager is expected to identify opportunities and areas for improvement across
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successes, our heritage and our strategic location, to become a leading School nationally and globally by investing in all areas of activity. We offer programmes at the undergraduate and postgraduate levels
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King’s College London). NIHR RSS Hubs support researchers at all levels of experience, at the grant application stage and beyond, to help them plan high quality research to improve health and social care
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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. Considerable international travel will be a requirement of the role. Main Responsibilities Gain excellent understanding of the 12 degree programmes at LBS and support each pipeline’s needs within the corporate
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AI with large-scale datasets, the post holder will drive biological discovery. The work involves developing sophisticated frameworks to bridge the gap between computational frameworks and clinical