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Venue and Programming Manager Employer UNIVERSITY OF SYDNEY Location Sydney, Australia Salary $117,133 p.a. + 17% superannuation Closing date 17 Sep 2026 View more categories View less categories Job
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programs with Australia’s major music organisations. Since its inception in 1915, the Conservatorium has played an important role in shaping Sydney’s cultural identity. The Venue and Programming Manager
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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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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 9 days ago
algorithms . Incorporate partition crossover and related tunneling mechanisms into specialized evolutionary and local-search algorithms, especially by exploiting parallel and high-performance computing
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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 9 days ago
, computational intelligence, heuristic search, or related areas, as well as to candidates with expertise in parallel and HPC computing combined with a solid understanding of combinatorial optimization. While
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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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track record in applying quantitative methods to data analysis tasks, as well as programming and computing cluster experience. Hands-on experience on manipulating, analysing, and annotating different