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Associate Professor Alex R Cook and/or Assistant Professor Borame Dickens. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We
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/researcher/jason-pitt/ for more information on Dr Pitt’s research. Qualifications Master's degree in Computer Science, Statistics, Bioinformatics, or a related field Strong programming skills in Python, R
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research in epidemiology, machine learning and/or meta-analyses to identify impacts of environmental change on health; Develop and implement statistical methods, computational models and/ or machine learning
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of research-related items, claim submission etc. Qualifications The applicant should: Bachelor's degree in biomedical science, bioinformatics, statistics, data science or a related field Strong in analytical
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in infectious disease modelling, human mobility patterns, and/or machine learning applied to public health and global health. Develop and implement computational models, statistical methods, and
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various packages using the R statistical environment. General molecular microbiology laboratory work including DNA/RNA extraction, library preparation, and sequence analysis. The position is available
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statistical and analytical skills, outstanding writing abilities, and the capacity to work within a diverse group of ecologists and marine scientists, are desirable. Candidates with experience in hybrid
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specialisation related to statistics, mathematics, computer science, quantitative social science, public health, epidemiology or related field (2) be proficient in Stata or R and (3) Have proven ability to conduct
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with the consideration of years of experience postgraduate. Duties: Collect and process remote sensing data relevant to the terrestrial carbon cycle. Implement advanced statistical method to explore
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, statistics, or related field Evidence of managing research projects Evidence of ability to conduct high-quality research Background relayed to Causal inference, Experiment design, Causal Structural modeling