134 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at Imperial College London in United Kingdom
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We are seeking to appoint two Clinical Research Fellows, who will be involved in a major research project in digital health, technological innovation, patient safety or disease mechanisms directed
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secure new business. You will ensure accurate data entry and recording of booking information and quotes with the ability to effectively communicate requirements to all contributing Teams. You will ensure
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payments, and addressing risks relating to health & safety, quality, programme, and commercial matters. You will be responsible for contribution to gateway reviews, coordinating with Teams on operational
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accuracy Excellent organisational and planning skills, to build and maintain systems and processes Excellent computer skills with an understanding and demonstrable experience of Microsoft Office, Excel
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This role is part of the Julia Anderson Training Programme which provides individuals who are at the early stage of their career with hands-on experience working on projects or activities
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; and O4) evaluating NeSyDebates’ methods/systems in practice, in legal settings for LLMs and for online safety for T2Is. To achieve the objectives, NeSyDebates will develop and deploy novel forms
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The Julia Anderson Training Programme provides individuals at an early stage of their career with hands-on experience working on projects or activities at the Institute of Global Health Innovation
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, act as deputy safety officer, and support the Head of Technical Operations and Safety overall. Are you an experienced technical services leader ready to help shape the future of research and
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research programme within the Department of Chemistry in one or more of the following fields: medicinal chemistry, novel molecular therapeutic modalities, chemical biology, AI-enabled therapeutic discovery
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and experimental validation. This will include applying and extending deep-learning approaches such as RFDiffusion and ProteinMPNN, developing in-house computational workflows, and carrying out