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Job no:520112 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences Full-time appointment on a fixed term basis for two years. Base salary range: Level X, $113,934
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 hour ago
with international colleagues. About the Mathematical Science Institute (MSI) The Mathematical Sciences Institute (MSI) at the Australian National University (ANU) is a leading international mathematics
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trajectory. About You You must be available to start mid-to-late 2025 Level A applicants are expected to have: A PhD (or be near completion) in engineering, applied mathematics, or computer science. Experience
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Australian National University | Canberra, Australian Capital Territory | Australia | about 16 hours ago
Australian National University, Mathematical Sciences Institute Position ID: ANU -PSDRF [#26793, 559226] Position Title: Position Type: Postdoctoral Position Location: Canberra, Australian Capital
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 hour ago
: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
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to global conservation science. To be successful you will need: A PhD in quantitative ecology, quantitative conservation biology, applied mathematics or a related Discipline Publication record in the relevant
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
Leadership Foundation, the Lab brings together experts from diverse disciplinary backgrounds and practice fields, to innovate new approaches and advance the theory, measurement, research, education, and
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. Knowledge in Advanced Physical Models such as the ones typical used in Many Body physics, Superconducting Quantum field theories and RF Quantum Optics. Interests in Exploring novel kinds of Quantum Sensors
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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. The research will be conducted in close collaboration between Philosophy and Biological Sciences. The position will be located in the Theory and Methods in Bioscience group, headed by Dr Bourrat in