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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability
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Australian campuses. You’ll apply your expertise in event delivery, project planning, project management and team leadership to deliver a cohesive program of student‑focused events and initiatives that enhance
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Research Fellow – AI/Machine Learning in Pharmaceutical Data Job No.: 697007 Location: Clayton campus Employment Type: Full-time Duration: 11-month fixed-term appointment Remuneration: $86,195 - $116,981 pa Level A (plus 17% employer superannuation) Amplify your impact at a world top 50...
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My research focuses on strongly interacting quantum systems at the interface between condensed matter physics and ultracold atomic gases. In particular, I am interested in the interplay between few- and many-body physics in scenarios ranging from superfluids to quantum impurity problems to...
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My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography), singular optics, using electrons, atoms and light and the exploration of complex systems using...
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Several explanations for hallucination exist, but perhaps the main reason is that they are trained to be plausible. There is no element of truth-seeking in their construction. The training content can be filtered to support this, but in many areas truth is not established. Many text sources...
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of human-animal interactions. We are looking for innovative thinkers from any discipline (e.g., Allied Health, Social Sciences, Education) who are passionate about how pets and animal-assisted activities can
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for research staff on research matters across the Faculty of Engineering aligned with faculty research strategy As the successful candidate you will be responsible for supporting the identification of funding
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these decisions? Required knowledge This project is open to candidates from diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior