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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance
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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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Full-time, fixed term opportunity for two years Exciting opportunity to be a Postdoctoral Research Associate in Tuberculosis Vaccine Development Base Salary starting at $113,400 + 17% superannuation
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to eliminate infectious diseases, globally. Our specialisation is in developing health solutions for the most at-risk communities. Putting communities at the heart of our research, we develop tests, treatments
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will contribute to the project by developing nanostructured single atom materials for environmental and sustainable catalysis, conducting mechanistic studies, and enabling large-scale materials
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will apply and develop their expertise in conducting research to further the research agenda of Professor Edward C. Holmes FAA FRS. They will contribute to research efforts as part of an inter
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neuropharmacological questions. Under the supervision of Principal Investigator Dr Claire O'Callaghan, the successful candidate will join a collaborative, interdisciplinary team, where they will be supported to develop
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internationally recognised research. Details of the role The Post-doctoral fellow is part of a dynamic team focused on developing novel anti-angiogenic and antifibrotic therapies for age-related macular