41 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" Postdoctoral positions in Australia
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contribution of 17% superannuation applies. Fixed term, full-time position for 2 years. This postdoctoral position offers an exciting opportunity to develop innovative digital tools to support wildlife crime
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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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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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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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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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relevant areas to understand both the palaeo-environmental evolution as well as to unravel the redox structure of the water column and investigate geochemical weathering proxies to help build a picture of
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activities. The Sydney EarthBank node will join the national AuScope Geochemistry Network , an Australian consortium of Earth Science institutes cooperating to develop national geochemistry research
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including from various parts of Australia, India and other relevant areas to understand both the palaeo-environmental evolution as well as to unravel the redox structure of the water column and investigate
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About the opportunity The Cancer and Stem Cell Laboratory is dedicated to understanding how normal stem cells transform into cancer stem cells and to developing targeted therapies that eliminate
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developing targeted therapies that eliminate these treatment-resistant cells. Cancer stem cells are increasingly recognised as key drivers of tumour growth, relapse, and resistance to conventional therapies