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Primary supervisor Pierre Le Bodic Research area Optimisation Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP
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, 2008) Required knowledge Be familiar with Big Data technologies (e.g. Apache Spark, Kafka) Have prior knowledge on or experience in parallel processing or data stream/IoT Have strong programming skills
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NMT models where sufficient parallel corpora are not available (eg [1,2]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for
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NMT models where sufficient parallel corpora are not available (eg [1,2]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
modelling from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel
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Primary supervisor David Dowe Co-supervisors Dr Hieu Nim (Murdoch Children's Research Institute) Prof Mirana Ramialison (Murdoch Children's Research Institute) Research area Data Science and
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knowledge Statistical signal processing, Statistical Inference, Machine learning, Deep Learning, Dynamical systems theory or knowledge of some of the above and willingness to learn other fields. Must
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knowledge Statistical signal processing, Statistical Inference, Machine learning, Deep Learning, Dynamical systems theory or knowledge of some of the above and willingness to learn other fields. Must
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information about the opportunity can be found here: https://careers.pageuppeople.com/513/cw/en/job/685291/phd-opportunity-indigenous-energy Monash Energy Institute and Faculty of Information Technology
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information about the opportunity can be found here: https://careers.pageuppeople.com/513/cw/en/job/685291/phd-opportunity-indigenous-energy Monash Energy Institute and Faculty of Information Technology