328 computer-security-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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in Coventry in 1939, they supply titanium fasteners for the airframe of aircraft. A multi-award-winning site with national awards in categories including training and development, health and safety
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Centre for Polar Observation and Modelling (CPOM) land ice altimetry activities at Lancaster University, and will work to deliver a programme of high impact research. The primary responsibilities
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About us Join Us as a Senior Research Fellow at the UCL Institute of Health Informatics Are you passionate about data-driven research and improving health outcomes? Come join the Institute of Health
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Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within the research programme of the Elementary Particle Physics Group. To work on detector
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researcher to develop expertise in clinical trial process evaluations. We have secured funding from the National Institute for Health Research Health Technology Assessment Programme to undertake a randomised
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with University and School priorities, will contribute to leadership and engagement activities Identify funding sources and secure grants to support and grow the research programme. Develop and apply
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developing an AI platform to valorise agri-food waste-streams and improve protein security? We are looking for a Research Fellow in Techno-Economic Modelling for Sustainable Protein Production to join our
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of Birmingham and the UK Health Security Agency. You will primarily be working in Theme 2: Applying Novel Omics Methods to Public Health Microbiology, which aims to demonstrate potential utility of new sequencing
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the ability to translate between clinical and technical language while working with radiology informatics teams. A solid understanding of DICOM standards, PACS and RIS environments, GDPR, and image transfer
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during