23 parallel-computing-numerical-methods Postdoctoral positions at University of Sydney
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and
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responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence, advanced characterisation and measuring methods for high performance perovskite
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imaging technologies. Our research portfolio spans development of new treatment ideas, clinical trials, preclinical imaging, device development, MRI-Physics, radiation therapy physics, and computational
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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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research methods and ability to lead research involving interviews and focus groups experience conducting original research and/or engaging in scholarly activity excellent written and verbal communication
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collected data from sampling larval, juvenile and adult fish using a variety of methods (seining, BRUVs) and acoustic tracking to measure fish movement and connectivity. Expected outcomes of this project
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stakeholders develop a coherent research program in translational metagenomics and an emerging research profile support and supervise junior researchers and clinical trainees contribute to the positive culture
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understanding of brain function and cognition using cutting-edge computational and neuroimaging techniques. Your key responsibilities will be to: conduct original research in the areas of computational
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Computer Engineering at the University of Sydney is seeking to appoint a Research Associate or Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of accelerating