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. The Department of Chemical Engineering is seeking a Research Associate to investigate the design of biocontrollers to advance the applications of synthetic biology in biomedicine, agriculture and environment. Dr
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Job description Job summary As a global leader in its field, the Department of Bioengineering is a fast-paced multi-disciplinary department, where scientific and engineering specialisms combine
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communicating research outcomes to colleagues and presenting findings at conferences. Essential requirements You should hold a Master’s degree or equivalent in biological sciences or related disciplines. You
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are recruiting for two Programme Coordinators who will carry out very similar duties but will each support a different area of the Suite. The focus of each role will be either on the BSc Economics, Finance and
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Job description Job summary The Imperial jobs site will be temporarily unavailable from 16.00pm Friday 23rd February to 12.00pm Wednesday 28th February as we move to a new Job site platform. We will not be accepting applications or advertising vacancies during this period. Applications started,...
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applicant will take a lead role in data science and epidemiology for this newly funded multi-disciplinary project grant for early detection of cancer called the Cancer Loyalty Card Study-2 (CLOCS-2
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carried out under the Royal Academy of Engineering funded Senior Research Fellowship programme. The Research Associate will join a highly collaborative and multidisciplinary team within the Subsurface CO2
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to working together to conduct high-quality work that makes a real difference to our clients and stakeholders worldwide. The successful applicant will have an especially strong engineering background
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computer science with previous experience in cardiac image segmentation and motion analysis. This post is part of a 4-year NIH program in a partnership between Imperial College London and Brigham and Women’s
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to data engineering for the deployment of the system in our trial hospitals. The 4 posts are as follows 1. PostDoc advancing off-line Reinforcement Learning and Decision Transformer research that underpins