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contribute to the development of: An R package for path-space rejection sampling for diffusion processes. An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint
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of: An R package for path-space rejection sampling for diffusion processes An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint Bayesian Fusion The position is
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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or biological systems. Proficiency in implementing and interpreting statistical and ecological process models in R or Julia is essential. (Research Assistant) Applicants must hold a BSc or MSc in ecology
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. Application sent directly to this e-mail will not be considered. Closing Date: 09 Oct 2025 Category: Research and Teaching (R&T) Where to apply Website https://academicpositions.com/ad/university-of-nottingham
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and communication skills, experience working with data in either R or Python, a medical degree, experience in functional genomic analyses, and experience working with people with lived experience in a
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. The postholder will also contribute to quantitative analyses, including survey data and secondary datasets (e.g. TIDES, UK-REACH, NHS CHECK, NHS staff survey) using statistical software such as Stata, R, MPLUS
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(e.g. APMS) with software such as Stata, R, MPLUS, or Python. The successful candidate will contribute to publications, reports and dissemination activities, present findings at seminars, meetings and
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include research experience in maternal, perinatal, or paediatric fields, proficiency in other statistical software like R, and holding or nearing completion of a DPhil/PhD. Applications for flexible