75 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Imperial College London
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adverse events promptly to ensure their wellbeing. Drive data collection: Collect a wide range of microbiological and host samples and maintain accurate clinical documentation and electronic data records in
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, on discussion between the academic and line manager to ensure staff are supported and provided with the best environment to achieve their potential. Full information on duties, responsibilities and criteria
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subspecialty? This is an exciting role based in the occupational lung disease service at Royal Brompton Hospital. You will help set up the UK Silicosis Registry You will be responsible for clinical data entry
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modelling to address missing data and uneven data collection across different centres. Second, based on our recent deep learning biomechanics modelling work, you will perform cardiac biomechanical modelling
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business and improve society through the power of innovative thinking. This is an outward-facing role, grounded in data and driven by the robust global relationships you will build. You will support the
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evaluation, using feedback and data to inform continuous improvement of schemes. You will collaborate closely with colleagues across the Careers Service, including Careers Consultants and the Employer
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acquired experimental data. These calculations, complemented with chemoinformatic studies, will be used to subsequently develop machine learning algorithms to predict these properties and ultimately estimate
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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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, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing . Further information can be found in the job description. For
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guidance from the Clinical Trial Managers and Operations Managers. You will oversee the progress and performance of the investigator sites, including efficient recruitment and reliable data collection, and