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led to the development of a key statistical tool that paired public sightings of suspected unowned cats with confirmatory data to enable robust estimates of unowned cat populations (termed an integrated
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candidates with a good understanding of bacterial physiology/genetics and antimicrobial resistance, statistics, and an enthusiasm for mycobacterial research. Experience in some aspects of bacterial culture and
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, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and model fitting using
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occurrence, aetiology, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High
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normal horses will be subjected to detailed characterisation of their protein “fingerprint.” Advanced statistical methods will be used to identify proteins that might be diagnostically useful
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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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exposure methods to enhance comprehension of material corrosion in hypersaline environments. Reliable test methodologies and statistical analysis techniques will be employed to assure conclusive
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sampling, arc-boat surveys, electric fishing, fish telemetry, statistical analysis (e.g R), GIS and technical writing. We are looking for a dedicated person with a background in environmental science related
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usefulness of the forecast, and perception of forecast performance by the public. Statistical post-processing techniques can help to reduce forecast errors by training machine learning models on data sets