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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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experience with Python/R. Evidence of manuscript and/or report writing.
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Kinesiology (or Exercise Science) Proficiency in advanced statistical methods and software (e.g., R, SPSS, Stata) for analysing intervention outcomes Academic standing: Outstanding publication track record in
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skills in SAS or R. Appointment is dependent on the level of experience in clinical trials, degree of supervision and/or mentoring required and statistical programming. Tenure: There is a permanent
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smart/digital HR systems, dashboards, and performance management. Knowledge of HR and low-carbon management practices. Experience using data tools (e.g., SPSS, R, AnyLogic, Power BI) and platforms (e.g
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and to the Research and Innovation (R&I) Directorate. You will also provide training and development opportunities to members of the University community as a whole, supporting a culture of open
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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advanced statistical analytical techniques using a relevant software package (e.g. R, Stata, SAS). C7 Self-motivation, initiative and independent thought/working C8 Problem solving skills including a