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Sciences currently runs two degree programmes, which lead successful graduates to University of Nottingham degrees in BSc Honours Mathematics with Applied Mathematics and BSc Honours Statistics. Some of our
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a hybrid manner. Do you have excellent numerical skills, with experience of using statistical or predictive techniques? Do you have a keen interest in using data science for the public good? Do you
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of the College’s relationships with regulators including the Office for Students (OfS), the partner University, the Office of the Independent Adjudicator (OIAHE), the Higher Education Statistic Agency (HESA
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partners across all aspects of data capture, processing and analysis. To be successful in this role, you will hold a Masters level degree in Statistics, Computing, or other numerate/related subject together
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fundamental and applied challenges. Project details FCS brings together almost 60 leading applied mathematicians, statistical physicists, experimentalists, theoreticians, and specialists in scientific computing
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observed across the Space Age, as well as upcoming events during Solar Cycle 25. Through collaboration with QinetiQ and access to unique datasets, this project will develop the computational and statistical
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institute ESR, Statistics Canada (StatsCan) and Public Health Agency Canada (PHAC), and the World Health Organisation (WHO). The post-holder is expected to develop and draw upon deep technical and appropriate
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Mathematics, Statistics, and Probability. The research culture is vibrant, with many visitors, seminars, international conferences and workshops. We aim to provide a supportive and friendly environment with a
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of commencement of employment. Research experience to include: Experience of anaerobic microbiology and in vitro technologies Experience in designing experiments and statistical analysis Demonstrable computational
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Attend UCL courses and training (e.g. in research study design, good clinical practice, medical statistics, time management, paper writing). Literature research Manuscript writing for submission to peer