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PhD in Economics is a desirable criterion, we will consider candidates currently completing a PhD in Economics or a related field (such as Statistics or Applied Data Science) and who have a strong
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, data management, data analysis, and reporting. Experience using statistical/programming tools or packages, such as SPSS, Stata and/or R. Excellent interpersonal skills and proven ability to establish
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classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R
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(for Research Fellow) or equivalent experience in bioinformatics, computational biology, statistics, genetics or a related field Demonstrated experience in transcriptomic data analysis and relevant bioinformatic
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a relevant discipline or equivalent research experience is essential for this role. The position also requires strong skills in statistical analysis and experience working with administrative and
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, attraction of external competitive grants and presentations at a national and/or international level in Public Health or Behavioural Science. An understanding of statistical methods and knowledge of SPSS
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modelling and statistical computing programs and languages such as Python and R Please refer to the Position Descriptions for other duties, skills and experience required for this position. Welcome
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: Completion or near completion of a PhD in bioinformatics, statistics, data science, microbiology, nutrition science or immunology. An emerging profile in research in microbiome, immunological disease
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Environmental Sciences with close collaborations with the School of Mathematics and Statistics.). The primary research goal of the Coastal and Regional Oceanography group is to make a major contribution to
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interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis