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the Commissioner's office and Agency partners. You will analyze complex datasets, develop and document analytical methods, and contribute findings to policy-relevant outputs. This will include relational databases
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, geophysics, medical physics, and computational science. The successful applicant will join the Inference Group, led by Associate Professor Colin Fox, which develops new mathematical and computational methods
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project funding. Purpose of the post The Senior Research Fellow will lead the development and application of advanced mathematical and statistical modelling methods to support clinical and infectious
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fundamentally new alloys for extreme environments across nuclear fusion/fission reactors, aerospace gas turbines and concentrated solar power. This involves: (1) Alloy Design, supported by computation methods; (2
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a strong willingness to learn about new topics and methods. Applicants with experience in quantitative research methods will be given preference.
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Fellow who will support key aspects of a mixed-methods policy evaluation. The Research Fellow will support a multi-year evaluation of Michigan's Partnership Model of school and district turnaround
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modelling. Developing deep mechanistic models for single-cell biological data. Building and maintaining reusable, open-source computational tools. Applying new methods to biological datasets and interpreting
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research fellow to support ongoing research projects in diffusion generative models and Monte Carlo stochastic simulation methods. This position holder will apply these techniques and other advanced AI
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skills, including econometric and statistical methods, and experience of analysing labour market data. We would particularly welcome experience of using large-scale survey, administrative or linked
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policies. Conduct quantitative and/or qualitative data analysis using appropriate research methods and statistical software. Prepare research reports, manuscripts, conference abstracts, presentations, and