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; University of Sussex | The City of Brighton and Hove, England | United Kingdom | about 4 hours ago
PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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date: 14 June 2024 We are seeking two Postdoctoral Research Associates to work in the marine modelling group of the Department of Mathematics and Statistics. The successful candidates will join our team
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clinical research databases with a focus on polypharmacy in mental health. Responsibilities will include planning, data manipulation and conducting the statistical analysis of datasets arising from
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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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View All Vacancies Mathematics & Statistics Location: Bailrigg, Lancaster, UK Salary: £25,138 to £28,759 (Full time, indefinite) Closing Date: Wednesday 05 June 2024 Interview Date: To be confirmed
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transmission of respiratory infections using data from the Office of National Statistics (ONS) COVID-19 Infection Survey (CIS). The ONS CIS is a unique household survey with longitudinal follow up of over
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Experience of working with R or other statistical packages Evidence of having contributed to published research productivity Excellent management and organisational skills Experience of working effectively
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. The Prob_AI hub will focus on probabilistic AI, and bring researchers with skills across areas such as Bayesian and Computational Statistics, Dynamical Systems, Numerical Analysis, PDES, Probability, Stochastic
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, coping mechanisms, and job resources affect these trajectories using discontinuous growth modelling and/or other appropriate statistical analyses. Additionally, the student will conduct a qualitative
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Assisting with responding to time-sensitive and relevant issues that are at the forefront in the media and conduct basic statistical analyses quickly to inform a Centre/programme response Preparing and