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Overview We are looking to recruit a researcher with strong background in statistics/mathematics and an interest in Bayesian statistics, causal inference and health technology assessment to join the
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Extending statistical methodology for multi-model ensembles (C3.5-MPS-Blackwell) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students Worldwide Prof P
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: How can tools like passive bioacoustics revolutionize wildlife monitoring? We offer cutting-edge training in statistical modelling, machine learning, and ecological forecasting, and our lab works across
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
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for study participants Carry out other duties, commensurate with the grade and remit of the post Grade 7 Manage online survey component of research project Undertake statistical analysis of survey project
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use in visual working memory, using your initiative, creativity, and knowledge about cognitive experimental and differential psychology. Use advanced statistical techniques such as longitudinal
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to obtain research evaluation scores. Statistically analyse the results, such as with correlation tests, and write up the results for publication. Collaborate with others in the project on shared tasks
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. During this project the student will gain skills in histology, immunohistochemistry, digital pathology, machine learning, quantitative and bioimage analysis, biomarker discovery, statistical modelling and
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at: application). Proficiency in data analysis and statistics using R (assessed at: application and interview). Experience of publishing scientific papers and presenting work at conferences (assessed
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) (Assessed at Application/Interview). Generic IT skills, including the ability to use statistical programs (e.g. Graph Pad Prism, R), in addition to Microsoft Office suite (Assessed at Application/Interview