29 computer-science-programming-languages-"O"-"O" Postdoctoral positions at University of London in United Kingdom
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level in the relevant subject area for the research programme; with a productive track record and have experience covering the full range of duties required. About the Institution The Faculty of Medicine
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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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the statistical analysis of data. They will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science, epidemiology, risk prediction, AI and clinical
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-on experience with programming, medical imaging, engineering designs, and system integration. Your track record will demonstrate proficiency in the design, fabrication, and pre-clinical testing of innovative
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Research Council (now UKRI Frontier) grant “Age-Enabled Exoplanet Science”. The successful candidate will work on determining the timescales and relative roles of key evolutionary processes in sculpting
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researchers in the preparation and analysis of data. The Research Associate will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science
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View All Vacancies Comparative Biomedical Sciences Location: Hawkshead (nr Potters Bar, Herts) Salary: £40,528 to £51,470 Per Annum Including London Weighting Fixed Term / Full Time Closing Date
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About the role We are seeking an enthusiastic Postdoctoral Researcher to join the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will
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, Qatar, Canada and the UK. The successful applicant will be based in the Department of Geography of Environmental Science, Queen Mary University of London, UK and work under the supervision of Professor