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of Surgery, Division of Experimental Surgery is seeking a Course Lecturer to teach the FALL 2024 semester; Statistics for Surgical Research. Course Title and Course Number: EXSU 606 - Statistics for Surgical
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have experience with R coding and explaining statistics to non expert audiences. Applications from PhD students who have submitted their thesis but awaiting their VIVA, or who are due to submit soon, can
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. Establish an R&D team with the appropriate skills and expertise to meet research needs of the team, and line manage staff, supporting their career development aspirations. Person Specification A PhD degree or
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that comprises one or more AIMC tiles. The project will also involve the use of a Pytorch-based simulation environment for network optimisation that is incorporating the statistical behavioural features of AIMC
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD in Neuropsychology, Experimental Psychology, Psychiatry, Neuroscience
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carrying out statistical analysis. Please visit Work at UCL for further information. About you The candidate must have a PhD or equivalent working experience in epidemiology, global health, statistics
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statistics in general at undergraduate. About the School/Department/Institute/Project The School is part of the Faculty of Science and Engineering, which comprises of five schools and two institutes
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. This post is available immediately and is funded to 31 July 2025 in the first instance. About you You will hold a PhD or equivalent work experience in quantitative social science (e.g. demography, economics
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, with staff drawn variously from economics, sociology, social policy, demography, psychology, anthropology and social statistics. We promote problem-solving interdisciplinary research on particular themes
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. The successful applicant will have, or soon obtain, a PhD degree in mathematics or related area, or equivalent level of professional qualifications and experience, with expertise in at least one of the areas