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frameworks (MOFs), and related materials using hybrid classical-quantum algorithms. A key component of the role involves using first-principles methods that capture strong electronic correlations, such as DFT
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Research Fellow in Electromagnetic Field Mapping via Scanning Transmission Electron Microscopy Job No.: 682389 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term
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the largest computer vision and machine learning research group in Australia with over 180 members including academics, research staff and students. The AIML works on a mixture of fundamental and
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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other 2D materials fabrication and measurement, and/or (iii) electronic and/or optoelectronic device measurements. If you would like to join us in pushing the boundaries of scientific discovery and
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techniques to uncover the chemical design principles which control electronic delocalization in molecular wires. The School is committed to diversity and equity. Women and staff from diverse backgrounds
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tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data
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courses How to apply Closing date: By 11:55pm, Sunday 14th September 2025 Position Enquiries: Jodi Oakman, Professor (Discipline Cluster Lead) Psychology & Public Health via email: J.Oakman@latrobe.edu.au
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Oakman, Professor (Discipline Cluster Lead) Psychology & Public Health via email: J.Oakman@latrobe.edu.au Recruitment Enquiries: Lisa White, Talent Acquisition Consultant via email: Lisa.White
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of collaborative research studies according to the study plan, data analysis, preparation of commercial-in-confidence reports, and the conduct of all studies in accordance with the requirements of our electronic