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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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institutions, Imperial College and the Medical Research Council Laboratory of Medical Sciences (LMS). The scheme has a variety of PhD projects on offer which focus specifically on experimental science rather
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the results of their work in leading journals. For more information please visit https://oreganlab.org/ . Essential requirements Research Associate: Hold a PhD (or equivalent) in Mathematics
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of metabolomics data, advise on design of biological experimental protocols, and data management. In addition, the candidate will provide support/training to research staff, MRes, MD and PhD students within
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mechanisms directed by Professor Ara Darzi, while working towards a PhD degree. The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer
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on duties, responsibilities and criteria can be found in the Job Description. Essential requirements Essential requirements, commensurate with career stage: An undergraduate degree and a PhD (or equivalent
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well as the AI network, comprising over 200 faculty and 1000 Research Associates and PhD Students at Imperial that work in AI. Duties and responsibilities The PostDoctoral posts 1. Will advance machine learning
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bacterial AMR, pathogenesis, immunity and microbiota. You will be expected to undertake project management, supervision and interact with research technicians, masters’, and PhD students within the group. It
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To develop contacts and research collaborations within the College and the wider community To provide guidance to PhD Students Contribute to bids for research grants To conduct and plan own scientific work
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contacts and research collaborations within the College and the wider community To promote the reputation of the Group, the Department and the College To provide guidance to PhD Students To maintain highly