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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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interdisciplinary research skills in statistical analysis, data visualisation, advanced programming, writing and oral presentation, and receive training to enhance transferable skills and employability. Person
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basis. Desirable: MSc in relevant field Experience with force plates and/or strain gauges Experience in systematic reviews, empirical research, and use of statistical analysis software Accredited
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to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human
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on health and use economic methods to evaluate relative costs and benefits. This may include use of health impact assessment methods, statistical analysis of secondary data sources to estimate health impacts
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. The postholder will also contribute to quantitative analyses, including survey data and secondary datasets (e.g. TIDES, UK-REACH, NHS CHECK, NHS staff survey) using statistical software such as Stata, R, MPLUS
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, Mathematics, Statistics, Biology, Engineering, Data Science or Computer Science. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance of the Principal/Co
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PhD studentship in the Probability and Statistics Research Group at the University of Sussex (UK) The Project Fourier analysis and abstract harmonic analysis provide powerful tools in many areas
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evaluation, policy advocacy, or better understanding the contexts and causes of such abuse. The student will use advanced data science and applied statistics to enable combined analysis of different modes
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, e.g., an undergraduate or Masters research thesis/dissertation Excellent English written and verbal communication Demonstrable leadership and teamwork abilities Statistical experience (as acquired