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, 25th June 2025 at 11.00pm AEST (R-52304). Please note that interviews have been tentatively scheduled for shortly after.
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languages such as Python or R. Strong communication (oral and written) and interpersonal skills, and experience working in a large research group is desirable. Fluent in spoken and written English. Ability
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. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Collaborate with team to improve standardization, utility, and public health potential
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skills in R and Python. Demonstrated experience with the handling and maintenance of crops in field-based and controlled environments, and genetic transformation of cereal crops. A strong track record of
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Research or Psychology. You will have a detailed understanding and knowledge of statistical modelling and of software packages for carrying out statistical modelling, e.g., Stata, R, SAS, SPSS. Meticulous
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to scaling R&D concepts into practical engineering solutions, bridging the gap between research and application. Compile and present detailed technical documentation and progress reports to fulfill
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processes, and leading R&D efforts in material science for application development. Drives the development and implementation of coating techniques. Oversee the transition from experimental designs
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plasma process equipment. Characterize the influence of magnetic field on plasma flow. Conducts various design experiments to refine processes. Optimize vacuum coating processes, and leading R&D efforts in
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Strong research background in statistical learning problems, especially from a theoretical perspective, as evidenced by publications Knowledge of MATLAB/R/Python Good written and oral communication skills
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, emphasis will be placed on: Experience with relevant R&D work (publishing, methodological knowledge) in the field. Experience in organization and management in healthcare services. Themes and perspectives