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journals and conferences, commensurate with career stage. Strong mathematical and algorithmic capability, with demonstrated experience applying machine learning to research problems Strong programming
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programming skills, including data wrangling, modelling, simulation and visualisation. Manage competing priorities effectively, meeting project deadlines while working both independently and
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understand Earth surface or mineral-system processes proficiency in scientific programming using Python or similar languages, or the demonstrated ability to rapidly develop coding capability a strong
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programming skills in C/C++, Python, R or comparable languages. Experience with AI-based coding tools such as Claude Code, Codex or Cursor. Evidence of research productivity through publications
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 14 hours ago
advantageous: Requesting, processing, and analysing passive-seismic data Programming skills (such as with Python or MATLAB) for data computation and visualisation Methods for imaging or probing the
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problem-solving ability, with experience conducting independent and collaborative research projects. Possess proficiency in at least one statistical or programming language, most importantly Python
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understanding plant strategies. Experience managing and analysing ecological datasets with proficiency in R or other statistical programming environments. A strong publication record relative to career
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Strong programming skills in Python and/or MATLAB Strong interpersonal, written and verbal communication skills Demonstrated ability to plan and manage research activities independently, prioritise tasks
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statistical programming skills (e.g. R or Stata). Survey, data, and research management: Experience developing surveys and experimental instruments, managing high-quality quantitative data, coordinating multi
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
ecological trade-offs and trait-based approaches to understanding plant strategies. Experience managing and analysing ecological datasets with proficiency in R or other statistical programming environments