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Mathematics: Statistics Position You will work actively on the preparation and defence of a PhD thesis in statistics and data science. Possible topics are causal machine learning, causal inference, robust
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legibility will be evaluated against human response times of user confirmations in a variety of scenarios, using appropriate statistical testing to test the efficacy of the models. The project forms part of a
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mathematical and statistical techniques. The project is situated in the context of efficient online learning, with a focus on scaling with model complexity and function approximation. Hold a master's degree in
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data-driven approach, involving data science/statistics/machine learning methods, and will be informed by clinical literature and practice. NOTE: Applicants must have been resident in an EU member state
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The candidate should have experience with hydraulics, hydrology or urban drainage. Furthermore, excellent skills within mathematics, statistics, programming (Python, Matlab or other languages), and geographical
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data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives and witness seminars, and (micro-level
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data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives and witness seminars, and (micro-level
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excellent in its quality. Every year Cranfield graduates the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics Agency Ltd). Cranfield Manufacturing
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courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more here. You will belong
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measurement, tensile and flexural tests) is also expected. Previous knowledge about veneer-based products and their technologies. Working knowledge of statistics. Specific Requirements The information