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Field
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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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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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-related disciplines Demonstrate solid foundation in statistical analysis (e.g., SPSS, R, STATA) Desired: prior experience in systematic review and evidence synthesis Desired: prior research experience in
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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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suitability for the role. Applications close 12 August 2025 at 11.00pm AEST (R-53894). Please note that interviews have been tentatively scheduled for late August. #LI-DNI
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research experience and track record in R&D Prior experience in state-of-the-art AI techniques. Leadership in climate transformation Self-driven, highly motivated, with interest to work with other
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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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activities are conducted at its central facility, with additional support provided by satellite laboratories at the University of California at Berkeley (USA), Toyota Central R&D Lab., and ISAS at the Japanese
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: The research staff is expected to work with the PI and other team members for doing R & D and take key role in optics, Laser-Induced Break down Spectroscopy, and optical instrumentation related projects
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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