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at 11.00pm AEST (R-54223). Please note that interviews have been tentatively scheduled for late August.
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that applicants follow the Fellowship (F) instructions in the SF424 (R&R) Application Guide except where instructed to do otherwise (in this FOA or in a Notice from the NIH Guide for Grants and Contracts
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planning. b) Have knowledge of statistical computing, data science, data modelling, or data visualisation languages and software (e.g., PowerBI, Python, R, SAS, SPSS, SQL, Tableau, etc.) c) Have experience
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of using and developing Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information
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call, adoption by an R&D organisation, reference in parliamentary briefings). Collaborating and communicating across sectors Summarise your experience of working with non-academic stakeholders – industry
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data (e.g., using MATLAB, R, Python). Ability to write papers and reports for peer-reviewed journals. Understanding of ethical guidelines in research. Capable of planning and executing complex projects
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the 4Rs Project under the project’s Principal Investigator, Professor Dana R. Fisher. We seek a junior scholar with a deep knowledge about environmental social science and civic engagement, and a
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tools such as R, Python, or MATLAB as well as relevant machine learning frameworks Experience in statistical data analysis, and expertise in areas such as experimental design, linear/nonlinear models
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Python, R, or similar Excellent analytical and problem-solving skills Ability to work both independently and collaboratively in a team Previous research experience and publication record in a related field
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neutrophil biology. Proficiency in analyzing large-scale single-cell RNA sequencing datasets. Experience with R programming and familiarity with relevant bioinformatics packages (e.g., Seurat, Bioconductor