346 algorithm-development-"The-University-of-Edinburgh" positions at Monash University
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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. This collaborative initiative between Monash University’s SensiLab and RMIT University’s Tectonic Formation Lab aims to develop new design methodologies that control the spontaneous dynamics of emergent systems with
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Connected Autonomous Vehicle (MCAV) team. Required knowledge Artificial Intelligence Machine learning Software Testing Genetic Algorithms
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monitoring. You’ll partner with internal stakeholders to develop and analyse complex budgets, identify issues before they arise, and provide options for mitigation. You'll consistently deliver exceptional
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curriculum development, educational technology systems, and inclusive teaching strategies. You’ll be instrumental in maintaining and optimising Learning Management Systems (LMS), supporting student engagement
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across the Rich Experiences division, including curricular and co-curricular programs, online modules, and digital learning resources that support student development and success. Additionally, you will
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them The Opportunity Lead Innovation at the Edge – Shape the Future of Rail Technology Join the Institute of Railway Technology (IRT) and lead the development of advanced condition monitoring solutions
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Study lipid–protein–polysaccharide interfaces in complex biological media Conduct research involving cell culture, bacteriology, and compositional analysis Develop and optimise equipment and methods
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of our staff. We welcome and value everyone's contributions, lived experience and expertise. When you come to work, you can be yourself, be a change-maker and develop your career in exciting ways. This is
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors