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About the Role We are seeking an enthusiastic and experienced (Senior) Clinical Trials Database Developer to join our team of data management and IT staff supporting a growing portfolio of clinical
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detector. Our experimental and theory dark matter researchers also benefit from synergy with our Low Temperature facilities within the context of Quantum Technology for Fundamental Physics. Our Centre is
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Abu Dhabi to use world-leading electron microscopes. About You You should have a PhD in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a
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of current trends in technology (e.g Acloud). A professional manner and ability to develop effective working relationships with colleagues, clients and third parties. Interest in Application or Enterprise
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Officer. You will lead the strategic delivery of AI, automation, and application innovation across the institution, ensuring technology is embedded at the heart of our operations, education, and research
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the learning process. You will be able to develop novel and appropriate methodologies to support current research activities of the QMUL SPRING group (including: sensor modelling, noise factor analysis, machine
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challenges related to the use of raw camera data. Develop novel and appropriate methodologies to support current research activities of the QMUL SPRING group (including: sensor modelling, noise factor analysis
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in tandem with clinical partners. About You You will possess a PhD or be nearing completion in mechanical, electrical, or biomedical engineering, or a related discipline. You will have hands
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energy infrastructure and Building Management System (BMS), introducing energy saving initiatives across the estate, and managing our electricity and gas supplies. Working alongside our vibrant workforce
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data are in the form of codes from standardized coding systems, such as SNOMED-CT. These codes need to be converted to features in some way prior to being used in analysis. One way of doing this is to