28 software-verification-computer-science Postdoctoral positions at University of London in Uk
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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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Mary’s 4,000 staff teach and research across a wide range of subjects in Science and Engineering, the Humanities, Social Sciences and Laws, and Medicine and Dentistry. This post is within the School
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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
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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School The School has an exceptionally strong research presence across the spectrum of Mathematical Sciences. It is part of the Faculty of Science and Engineering, which comprises five schools and two
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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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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
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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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Essential requirements are a PhD (or close to completion) in a relevant subject, with experience in cell and molecular biology (including “omics” technologies, and microscopy). Experience in 3-D modelling