16 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions at UNIVERSITY OF SYDNEY
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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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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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on the detection and analysis of bacterial pathogens in respiratory samples develop novel approaches to analyse metagenomic data in the context of bacterial colonisation and infection produce high-quality research
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how control parameters (e.g. bucket speed, size, depth, and packing density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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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
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communications, Multispecies Justice and/or First Nations knowledge. Your key responsibilities will be to: lead an original research project developed in discussion with Liza Lim collaborate on specific sub
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explore new research for furthering scientific understandings, breakthroughs and impact, assist in developing new research proposals and build and expand new research collaboration opportunities assist in
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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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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