107 data-"https:"-"https:"-"https:"-"https:" positions at Imperial College London in United Kingdom
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budget. This includes identifying recurring issues through data and operational insight, developing proactive improvement plans, and coordinating works with Centres of Expertise and contractors to deliver
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, complete overnight administrative tasks, and compile and distribute operational data as needed to support daytime teams. Working closely with colleagues across the Property Division, you will provide
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. Fabrication skills in garment construction and/or textile design. Evaluating the quantitative performance of an embedded sensing system. Experience in conducting human-computer interaction user studies. Strong
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the successful delivery of this important national study. Your work will focus on participant recruitment, obtaining informed consent, data collection and management, and facilitating referrals to secondary care
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Systems Engineering (AESE) group and the CHEDDAR Hub. Edge-AI aims to deliver world class fundamental research to protect the quality of AI data/learning running in Edge Computing environments
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to prioritise multiple concurrent projects. Effective written and verbal communication, able to convey technical and safety information clearly. Proficiency with relevant CAD/CAM and design tools (e.g
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Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and data-driven
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transmission dynamics. The post will support quantitative research using routine electronic health record data from primary care and hospitals, as well as data from the clinical trial to assess the impact of
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stakeholders is clear and timely. You will analyse service data, monitor performance and identify opportunities to improve efficiency and customer experience. Working closely with colleagues across maintenance
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. To this end, the project integrates state-of-the-art knowledge from different disciplines such as algebraic topology, differential geometry, machine learning, and computer vision. You will conduct original