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. These include mathematical analysis, numerical simulations, computational and data science approaches, natural language processing, etc. Depending on the specific findings, research outputs are targeted
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; infectious agents; organisms and their environments; to broad habitats and landscapes that cover Earth, and its oceans. Our School encompasses the disciplines of Molecular and Biomedical Science and Ecology
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to an exciting research project on social network analysis and online influence. This position will collaborate with industry partners and academics within the Adelaide Data Science Centre. To be successful you
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health professions). Demonstrated knowledge, skill and experience in assessing the quality of research and scientific/ medical writing. Ability to undertake collaborative research relevant to evidence
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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in radiation science and technology. Demonstrated experience in radiation modelling, including Monte Carlo simulations, dosimetry and radiation protection. Demonstrated ability and experience in
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you will need: A PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including
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government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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activities and interacting with a broad array of stakeholders in science and industry. The School of Agriculture, Food & Wine is one of several Schools in the Faculty of SET, and represents a world-class