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-temperature conditions. Proficiency with data analysis tools and scientific programming languages (e.g., Python, MATLAB, LabVIEW). Commitment to safe laboratory practices and familiarity with experimental risk management
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. Proficiency with data analysis tools and scientific programming languages (e.g., Python, MATLAB, LabVIEW). Commitment to safe laboratory practices and familiarity with experimental risk management processes. A
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projections. Demonstrated experience in working with large data sets. Strong programming skills (e.g. Python, R) and ideally experience in high-performance computing. Demonstrated ability to work in a team
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 13 days ago
regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter who has demonstrated experience in project management and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 18 days ago
regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter who has demonstrated experience in project management and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 16 days ago
industrial decarbonisation and/or East Asia will be highly regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter
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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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. 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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, 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