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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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entrepreneurial ideas from our talented science, engineering, medicine and business students. This role is part of a shift pattern (Monday-Friday (approximately; 10:00-14:15) You will be part of a creative
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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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across Imperial College and other universities. Candidates with masters-level education in molecular, cellular and/or cancer biology are invited to apply. The College is supportive of flexible working
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assembly, automated molecular biology workflows and cell culture, next generation sequencing, state-of-the-art imaging and mass spectrometry platforms at the Child lab , London Biofoundry and Agilent
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assembly, automated molecular biology workflows and cell culture, next generation sequencing, state-of-the-art imaging and mass spectrometry platforms at the Child lab , London Biofoundry and Agilent
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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