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Job Reference: 1069107 Full-time Continuing | Curtin Bentley Campus (Boorloo, Perth) Lead Transformation in Human Learning and Innovation Curtin University is a global leader in education, research
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Job Reference: 997197 About the role We are seeking a motivated Research Assistant, with clinical experience in either speech pathology, occupational therapy, or neuropsychology/clinical psychology, to join our NHMRC Assess for Success team at Curtin University. The successful candidate will...
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University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing leading research and development of AI). The now established Responsible AI Research (RAIR) Centre
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candidate will join Associate Professor Jean Wen’s research group, conducting independent, high-impact research at the intersection of AI/machine learning, computational biology, and RNA biology. The position
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unique suite of capability-based medical educational programs aimed a post-graduation subspecialty medical education and training, and a unique three-year extended masters-level, professional-entry Doctor
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within a ‘Group of Eight’ University! The State Government of South Australia, CSIRO and the University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing
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to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
research challenges in: dynamical systems differential games optimal control numerical optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a
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optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a collaborative and forward-thinking research team working across decision and control theory