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Field
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. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and
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environments such as R, Java, Python, C++; Ability to communicate statistical concepts and data analysis interpretations to the group; Experience in genetic analysis of environmental exposure risk factors
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science (e.g., R or Python); Ability to work with and analyze administrative data. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring
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tracking to link neural activity with naturalistic behavior and perception. The successful candidate will work closely with Dr. Carlos R. Ponce and collaborators to design and execute experiments in visual
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Reference Number: R-59207). #LI-DNI
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both potential and performance relative to opportunities when assessing suitability for the role. Applications close Sunday 11 January 2026 at 11.00pm AEST (Job Reference Number: R-58835).
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. 3. Qiu S, Zhao Z, Wu M, Xue Q, Yang Y, Ouyang S, Li W, Zhong L, Wang W, Yang R, Wu P, Li JP. Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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complex datasets, including model fitting, statistical testing, and data visualization in R and/or Python. Ability to work closely with experimentalists to ensure analyses complement experimental goals and
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Infectious Disease Analysis, Imperial College London (ICL): Prof. Nuno R. Faria, Dr. Oliver Ratmann, Dr. Charlie Whittaker, and Dr. Kris Parag. ● Saw Swee Hock School of Public Health, National University