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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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for postdoctoral roles must hold a PhD or equivalent qualification in biology, epidemiology, computing, behavioural science or closely related disciplines, and should have a strong track record in data science
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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 London Biofoundry and Agilent Measurement Suite
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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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Research (Sutton, London). You will be a member of the team working in the Centre for Integrative and System Biology and Bioinformatics. The Centre also run a popular master’s course in Bioinformatics and
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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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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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. 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