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Applications are invited for a Research Assistant - Statistical Geneticist to join the Genomics and Bioinformatics Core (GBC) within the Institute of Metabolic Science - Metabolic Research
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Approximation calculations, whose direct use in Bayesian parameter estimation is currently computationally prohibitive. By providing a fast and statistically controlled surrogate for these calculations
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Gavin Hudson, receiving training in single-cell proteomics, mass spectrometry, bioinformatics, statistical genetics and multiomic data integration, providing an excellent foundation for careers in
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statistical methods for adaptive learning, sequential decision-making, and control, motivated by applications in public health and epidemiology. The project will focus on methodological advances in
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laboratory environment with some statistical methodology is desirable. How to apply Applications should be submitted via the Veterinary Medicine and Science PhD programme page. In place of a research proposal
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modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs
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Bachelor's degree in Economics, Sociology, Psychology, Public Health, Medicine, Biology, Food Sciences, Statistics, or Mathematics. Mode of Study: Full time Start Date:1 November 2026 Funding Information
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missing and incomplete symptom data can introduce bias and worsen existing inequalities. This PhD will develop innovative statistical and machine learning approaches to understand, model, and overcome
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computational methods to extract infection dynamics from individual cells Integrating experimental observations with mathematical and statistical models of phage-host interactions. The successful applicant will
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: Artificial intelligence and machine learning. Human-computer interaction, behavioural research or experimental design. Computer vision, audio analysis or multimodal data analysis. Statistics, psychometrics