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Assistant Professor in Applied Statistics or Actuarial Data Science Directorate: School of Mathematical and Computer Sciences Salary: Grade 8 - £47,389 - £58,225 Contract Type: Full Time (1FTE
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and carbon cycle model-data integration using the CARDAMOM Carbon-Water Bayesian model-data integration framework. The candidate will help advance global land biosphere estimates of biomass, water
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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Compensation Estimator to calculate the total compensation value with benefits. Qualifications 6 months of experience in job offered, or as a statistician, statistical programmer or a related occupational title
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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and
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engineering in healthcare. Minimum Education and/or Training: Master's degree in computer science, computer engineering, data science, information technology or related field required. PhD degree in data
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. To combine the data and models, and estimate uncertainties, they will develop and use Bayesian “inverse modelling” techniques. You will work closely with a team of around 10 researchers in the ACRG studying
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include Bayesian data analysis, nonparametric statistics, functional data analysis, spatio-temporal statistics, and machine learning/artificial intelligence. Many of our projects involve dynamic processes
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plants they visit and pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing
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, sampling, inference, and machine learning. On one side, statistical approaches such as Bayesian inference play a critical role in identifying the parameters of PDEs, while on the other, newly emerging