29 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions at University of Sydney
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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
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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Full-time, fixed term opportunity for two years Position description: Postdoctoral Research Associate in Neuroimaging Neuroscience Location: O’Callaghan group, School of Medical Sciences, Faculty
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conference presentations. provide informal mentoring and guidance to junior team members, including undergraduate and PhD students foster a positive and inclusive workplace culture that values diversity
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sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1
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) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute to competitive grant proposals and research impact activities
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to these values. We are seeking an excellent candidate for a Postdoctoral Research Associate in 3D Deep Learning for Vision and Lidar position who has: a PhD (or near completion) in a relevant field background
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information and instructions, please visit:NSW Health employment requirements EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place
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Full time, fixed term position until 2nd December 2027. Located on the Camperdown Campus at the School of Physics Exciting opportunity to contribute to one of the leading Physics departments in
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has: a PhD (or near completion) in child Psychology strong experience working on clinical trials in child psychology experience in managing complex, longitudinal data focused on child mental health