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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
considered desirable and advantageous if applicants are also proficient in German, have experience coordinating EU projects, have experience in interdisciplinary research in the social sciences and humanities
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background and recently migrated to Australia current or former refugee completed secondary school at a School Network Access Program school *RMIT has a great range of online career support resources
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to articulate complex material in clear and concise language and contribute to research reports and publications. Demonstrated competence in the use of computer applications and relevant digital technologies
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implement machine learning algorithms for complex data analysis. Utilise advanced programming skills (Python, MATLAB, C) and image processing libraries to develop computational solutions. Publish research
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Photonics Facility recently funded through Queensland Quantum and Advanced Technologies Commercialisation Infrastructure Program, aims to establish Australian commercial capability in nanophotonics and
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, as well as a postgraduate PhD research program for over 50 students. 33 academic staff conduct theoretical and experimental research in quantum physics, astrophysics, fundamental physics; and condensed
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computing technologies; be an Australian citizen, Australian permanent resident or an international student meeting the minimum English language requirements; provide evidence of adequate oral and written
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program, contributing to service and engagement activities, and mentoring the next generation of researchers through effective student supervision. This position presents a unique opportunity for an
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nonlinear optimisation, mixed-integer programming, algorithm design and analysis, and numerical methods Excellent computing skills and experience working with relevant programming languages and platforms
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Minimum Message Length '', Springer (Link to the preface [and p vi , also here ]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program . Proc. 7th Australian Joint Conf