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insights for process optimisation software development, particularly using Python, JavaScript, and HTML/CSS to build tools, automate workflows, and support data-driven decision making excellent communication
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agricultural datasets proficiency in R and/or Python for analysing spatial data, particularly in the context of remote sensing, ensuring robust data processing and interpretation strong ability to communicate
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, and statistical analysis. Strong skills in econometric and statistical software (e.g., Stata, R, Python). Knowledge of retirement income systems, asset drawdown behaviour, and housing wealth
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. Skills and Experience: A PhD completed or near completion in Economics or a related field. Strong coding skills (e.g., R, Python, Stata). Experience in designing and conducting experiments. Excellent
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proficiency in relevant programming languages (e.g., Python, R, Matlab). Demonstrate excellent communication skills for articulating research in presentations and publications. Show a track record of publishing
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, implementation, and statistical analysis. Strong skills in econometric and statistical software (e.g., Stata, R, Python). Knowledge of retirement income systems, asset drawdown behaviour, and housing wealth
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crystallising nano-sized protein crystals and characterising their size for use in the sample delivery system. They may also use Python-based code written by the research group to analyse synchrotron data using
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
, and onboard computing platforms (e.g., Jetson, STM32). Proficient user of Python, C/C++, Linux tools and similar. Skills in control theory, estimation, perception pipelines, and multi-agent coordination
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in Python, C++ or similar - particularly with an emphasis on high-performance computing Experience in crystal structure prediction or crystal growth prediction Experience in collaboration with project
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phenotyping, and laboratory workflows (e.g., DNA extraction, genotyping) for breeding applications. Proficiency in statistical analysis and data workflows using relevant tools (e.g., R, Python, ASReml, mixed