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large databases is required. The candidate is expected to partake in design of the epidemiological studies, statistical work (SPSS but also other programs such as R), presentations and preparation
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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Substantial experience with Python Substantial experience with R The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be
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to work as part of a team. Preference will be given to applicants with intermediate or advanced computer skills in the following software packages: R, Stata or SAS (quantitative data analysis software), MS
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imagingGood organisational skills and attention to detail Experience in data analytics, statistical analysis and in programming (such as MatLab, R, Python) Ability to write papers for high quality peer-reviewed
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of nuclear structure and function. Current Opinion in Cell Biology 26, 10-18. Hazra, R., Brine, L., Garcia, L., Benz, B., Chirathivat, N., Shen, M.M., Wilkinson, J.E., Lyons, S.K., and Spector, D.L. 2022
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SPSS, R, or advanced Excel to support research Able to develop, deliver and evaluate research training programmes in group or one-to-one settings to internal and external organisations ensuring
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. Experience with field instruments and lab analytical equipment is highly valued. Training and experience with software such as MiniTab, R and ArcGIS. Strong written and verbal communication skills as
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economics and behavioral experiments. Compiling, processing, and analyzing data from the experiments using statistics and econometrics software STATA and (or) R. Engage in academic activities (proofreading
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or a numerate discipline OR equivalent experience. Broad knowledge of probabilistic models, Bayesian inference and machine learning methods. Good knowledge of R, Python or both (links to project source