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Lecturer - Signal Processing Employer RMIT UNIVERSITY Location Melbourne, Australia Salary $119,915 - $142,402 p.a. Closing date 29 Oct 2026 View more categories View less categories Academic
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potential to work across other RMIT campuses as required. About the Role Join RMIT’s School of Engineering as a Lecturer in Signal Processing and help shape the next generation of biomedical engineers
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increase in data volume, it is necessary to adopt parallelism techniques to achieve reasonable query response time. The main focus will be on parallel query processing, which is the main driver for Big Data
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working About You The Technologist - Thin Film & Plasma Processing plays an important role in supporting the Micro Nano Research Facility (MNRF), providing specialist technical expertise
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is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
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at CERN in Geneva. During the past few years vast datasets have been collected, allowing us to probe the Standard Model with world-leading sensitives. Research projects typically involve analysing
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mainly in Europe. We also collaborate closely with researchers at CERN and at Fermilab, and with our LHCb colleagues through the Monash-Warwick Alliance in Particle Physics. Joint projects with an LHCb
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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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will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly generated data. The world will see all too many changes
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will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly generated data. The world will see all too many changes