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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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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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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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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
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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI