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for statistical analysis together with experience of analysing real world data. Good track record of peer reviewed scientific publications, excellent team working and communication skills are also essential
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, computational and statistical tools. This advertisement is for a Research Associate in Land Surface Modelling, who will be responsible – in collaboration with a parallel role at the University of Reading
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Specification PhD degree (or near to completion) in Physics and/with Astrophysics, and experience with high-resolution spectroscopic data analysis and a high level of statistics. Candidates with experience
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experience with photometric data analysis and a high level of statistics. Candidates with experience modelling orbital dynamics, and/or experience with studying exoplanet atmospheres will be favoured High
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and Computational Statistics, Financial Mathematics, Geometry and Mathematical Physics, Mathematical Biology and Healthcare, Mathematics Education, Optimization and Numerical Analysis, Topology and
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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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capabilities and capacity within four key methodological data analytics areas; Statistical Data Science, AI and Immersive Technologies, underpinned by technical Infrastructure and expertise. You can read more
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to the role (such as BASES accreditation) Industry experience within the sport and exercise sciences working in an applied manner A proficiency in using statistical and/or analytical software packages such as
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discipline Other accreditations commensurate to the role (BASES accreditation) Industry experience within the sport and exercise sciences working in an applied manner Proficiency in using statistical and/or
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inference (e.g. state space modelling), advanced statistics • Experience in conducting high quality academic research • Demonstrable ability to present research papers at national/international