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learning. Access to clinical data for medical research and education is often difficult because of lengthy data sharing agreements and privacy concerns. Two complementary approaches to facilitate access
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Apply now Job no:523884 Work type:full time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity We are looking for machine/deep learning expert to join our team that is
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personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about
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Research Fellow - Embodied AI & models of human decision-making for robot learning Job No.: 661145 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment
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commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture
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consistently ranked in the top 1% of the world's universities. CRADLE conducts research in the area of assessment and digital learning and collaborates with Deakin Learning Futures and faculties through joint
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) at the School of Computer Science, working with Dr. Clement Canonne on efficient privacy-preserving algorithms for distributed learning (as part of the ARC DE230101329 project on "Trading Privacy, Bandwidth, and
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, working with Dr. Clement Canonne on efficient privacy-preserving algorithms for distributed learning (as part of the ARC DE230101329 project on “Trading Privacy, Bandwidth, and Accuracy in Algorithmic
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of operations of radio frequency equipment emerge in increasingly complex, congested and contested spectral environments. With recent advances in machine learning across multiple fields, the time is ripe for a
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University of Kansas Department of Civil, Environmental, and Architectural Engineering | Virginia, Northern Territory | Australia | about 5 hours ago
The Civil and Environmental Engineering Department at Virginia Tech is seeking a Postdoctoral Researcher with expertise in hydrology, water quality, machine learning, and eXplainable AI