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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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extreme environmental stress. The main responsibilities of the position include: Analysis of metagenomic sequence data with various packages using the R statistical environment. General molecular
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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/Masters degree in biomedical science, bioinformatics, statistics, data science or a related field Strong in
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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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within large IT infrastructure. Deep understanding of statistical analysis, data mining or machine learning Practical experience in working with large structured and unstructured data set Ability to think
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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