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Australian Laureate Fellowship research project Temporal Analytics for a Complex, Dynamic and Ever‑Changing World. You will be responsible for developing new temporal analysis methods, implementing software
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proficiency in research software and academic publication. This is a rare opportunity to contribute to research translation that makes a meaningful difference — applications are warmly encouraged. About Monash
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). Advanced skills in statistical analysis and modelling using tools such as R, Excel, Redcap, and related software. Demonstrated experience in AI or machine-learning applications and a passion for
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specific expertise in analytical software such as TreeAge and STATA or R. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground
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stakeholders to understand real-world problems and applying research techniques to develop solutions Working with a team of software engineers, multidisciplinary researchers and external stakeholders Contribute
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. Proficiency in using analytical software will be highly regarded. The role requires face to face data collection. Visa sponsorship is not available for this position. This role requires current valid work
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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, while the production of open source software is critical to ensure that project outcomes are translated to industry practice. Candidates with skills aligned to the project, will be highly competitive and
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demonstrate a strong commitment to confidentiality and information handling, work collaboratively with colleagues, and show proficiency in Microsoft Office and University software, with a willingness to learn