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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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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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' link at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact Distinguished Professor Irene Yarovsky via email irene.yarovsky
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performing other duties that support the efficient operation of the research team. Mandatory: PhD or equivalent in electrical and electronic engineering and/or applied mathematics, in particular, in one
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Radke via email helena.radke@jcu.edu.au JCU celebrates diversity and is committed to creating a safe, inclusive, and welcoming environment for all. We encourage applications from people of all backgrounds
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. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled