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About Us The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in
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collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration into the broader CHILDs team. This is an outstanding opportunity to develop a
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Magnini in the Faculty of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and
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Are you an atmospheric scientist looking to apply your expertise to real-world forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction in Africa, and we are seeking a scientist who understands and enjoys challenges in atmospheric and climate...
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About the role We are seeking a Senior Bioinformatician to join the Hub for Applied Bioinformatics (HAB) within the Faculty of Life Sciences & Medicine at King’s College London. Reporting
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that the project objectives and deadlines are met. You will be expected to keep diligent records and computer code. This post is based at the University of Warwick (in The Control and Engineering Biology group
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structured development programme and provision of both formal and 'on-the-job' training. The posts are also open to those who are returning to academia after a career in another sector. Successful applicants
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applicants Access and outreach Graduate study How to apply Graduate Fees and Funding Graduate Accommodation Graduation Student Hub Research Fellows Research opportunities The Silk Roads Programme Library
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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science