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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
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community. The consortium brings together experts across AI and both experimental and computational chemistry and this Hub will promote connectivity of the broader community, training, networking, as
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. Duties and responsibilities Thorough daily cleaning of all areas Clean and sweep outdoor garden area Clean and disinfect front entrance and pavement area in front of EYEC Keep a check on cleaning materials
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ground-breaking research studies. These projects involve working within multi-disciplinary clinical and research groups such as imaging, pathology, engineering and molecular biology. The post will also
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adequate provision of general equipment and materials; Equipment and materials for activities and workshops are sourced and prepared in advance of events Staff are briefed and supported on safe working
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for autonomous monitoring of biodiversity[1] . The post is hosted in the Ecosystem Sensing lab in Imperial-X / Department of Life Sciences, led by Dr. Sarab Sethi (www.imperial.ac.uk/people/sarab.sethi
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. Applications are invited for a Research Associate position in the Department of Chemistry, based at our state-of-the-art research facilities at Imperial College London White City campus. The project is funded by
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. Essential requirements You should hold Master’s degree or equivalent in Computer Science or relevant STEM subject (e.g. quantitative epidemiology, biology), together with relevant experience. Practical