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such as high-performance computers and servers. Qualifications Qualifications / Discipline: Bachelor’s or Master’s degree in Life Sciences, Computer Science, Mathematics, Statistics or related fields Skills
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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'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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ecology Specimen processing Databasing GIS or other mapping Statistics using R Experience [with one or more of these desirable] Ecological field work Data entry Statistics, mapping, or modelling Specimen
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bioinformatic techniques e.g., accessing data from public databases, clean-up of procured data and performing of statistical analyses. In addition to the above, the candidate will also be expected
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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