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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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the molecular mechanisms that enable male germline recovery following damage by genotoxic drugs, and the regenerative responses of SSCs. The research will use in vivo models, organoids, SSC culture, and genomic
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-based health care. High level interpersonal, communication and organisational skills. Ability to contribute to a diverse and collaborative team environment. Commitment to ongoing learning. Level B: PhD in
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Criteria: A PhD in applied mathematics, engineering, computer science, data science, physics, or a related area. Strong academic track record (including peer-reviewed publications and conference
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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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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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to contribute to the development of management strategies for these pests. The ideal candidates will have a PhD in agricultural entomology or closely related field and interest in advancing knowledge that will
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will need: A PhD or equivalent in stochastic modelling, data science, network analysis, statistics, or related discipline Is eligible to apply for an Australian Government security clearance. Research
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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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of weed populations under farming systems including herbicide resistance and changes in emergence patterns. This role is ideal for a candidate with a PhD in Weed Science, Plant Genetics, or a related