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at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks
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/engineering/our-schools/chemical-engineering Skills & Experience PhD in Engineering or Mathematics. Demonstrated skills and experience with process control and modern control theories including nonlinear
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27 Oct 2025 Job Information Organisation/Company UNIVERSITY OF MELBOURNE Research Field Mathematics Researcher Profile First Stage Researcher (R1) Country Australia Application Deadline 25 Nov 2025
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Australian National University, Mathematical Sciences Institute Position ID: ANU-PSDRF1 [#27578, 560457] Position Title: Position Type: Postdoctoral Position Location: Canberra, Australian Capital
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and
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as required. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture Expertise with advanced graphing and/or data analysis
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degree in mathematics, strongly encouraged to apply. Experience and demonstratable knowledge in deep learning and one or more of the following: transformer networks, implicit neural functions, graph neural
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
and validation of key personality frameworks, with a particular focus on the HEXACO model and Schwartz's values theory. Collaborate on cultural adaptation of instruments, ensuring conceptual and
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mathematical capability, especially for Theme 1, with applicants holding an undergraduate or postgraduate degree in mathematics, strongly encouraged to apply. • Experience and demonstratable knowledge in deep
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the desire and ability to continually achieve research excellence as well as the capacity for research leadership. Strong understanding of theory and methods relating to the design of epidemiological studies