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, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree (PhD), it is important
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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
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probability and statistical inference, optimisation, microeconomics, scientific methods Elective courses in economics, finance, or optimisation Dissertation on a topic in business economics, industrial
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qualifications Strong publication record in peer-review journals Experience with obtaining external funding Knowledge of and experience with marine biology and ecology Experience with demographic genomic inference
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analysis and coalescent based species inference, and synthesis in the form of a formal revision. Supervisors: Prof. Michael D. Pirie (main; Department of Natural History, University Museum, University
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processing for high-throughput sequencing, bioinformatics including phylogenetic analysis and coalescent based species inference, and synthesis in the form of a formal revision. Supervisors: Prof. Michael D
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epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most
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statistical inference, optimisation, microeconomics, scientific methods Elective courses in economics, finance, or optimisation Management Science Dissertation on a topic in logistics, operations management