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Translational Medical Imaging Health Systems Engineering Point-of-Care Diagnostics and Treatment Biomechanics and Robotics All positions are full-time, continuing (tenure-track), teaching and research roles based
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plants they visit and pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing
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for inference, yet differs from standard Bayesian approaches through its information-theoretic foundation. The MML87 approximation achieves computational tractability while remaining virtually identical to Strict
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Multiple Continuing (Tenure-Track) Academic
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Multiple Continuing (Tenure-Track) Academic Positions, School of Electrical and Computer Engineering
Signal Processing Software Engineering All positions are full-time, continuing (tenure-track), teaching and research roles based in Sydney. Successful applicants will join a group of enthusiastic, highly
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Multiple Continuing (Tenure-Track) Academic Positions, School of Biomedical Engineering, Faculty of Engineering, The University of Sydney Join a thriving Faculty of Engineering at a University
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-track), teaching and research roles based in Sydney. Successful applicants will join a group of enthusiastic, highly research-active and collegiate academics who deliver a world-class education to our
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Translational Medical Imaging Health Systems Engineering Point-of-Care Diagnostics and Treatment Biomechanics and Robotics All positions are full-time, continuing (tenure-track), teaching and research roles based
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Multiple Continuing (Tenure-Track) Academic Positions, School of Electrical and Computer Engineering
(tenure-track), teaching and research roles based in Sydney. Successful applicants will join a group of enthusiastic, highly research-active and collegiate academics who deliver a world-class education to
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motif, hence renders the identification of the binding protein difficult. Here we propose for the first time to apply the Bayesian information-theoretic Minimum Message Length (MML) principle to optimise