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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
deep learning theory and practice. Applicants with expertise in probabilistic modelling, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine
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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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Assist with routine team administration Assist with preparing reports, graphs, figures and presentations on research outcomes About UQ As part of the UQ community, you will have the opportunity to work
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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
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collaboration between Philosophy and Biological Sciences. The position will be located in the Theory and Methods in Bioscience group, headed by Dr Bourrat in the Philosophy Discipline. The skills required
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, Mathematical Sciences; Physics). Across learning and teaching and research, the School partners actively with industry and external stakeholders in Australia and internationally, delivering innovation, research
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School of Mathematics and Physics Full-time, fixed-term position for up to 2 years Base salary will be in the range of $114,824.05 - $136,048.72 + 17% Superannuation (Academic Level B) Based at our
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students. SPS is responsible for the research training of over 120 PhD students. SPS is research intensive with internationally recognized expertise in Human Factors, Mathematical Psychology, Industrial and