471 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at Monash University
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, software, human-computer interaction, ...). We also work very much interdisciplinarily with colleagues from other faculties, e.g. on bio-diversity matters, on physical aspects, on modelling aspects, and on
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Computational simulations are now widely employed to study the behaviour of social systems, examples being market behaviours, and social media population behaviours. These methods rely heavily
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systems and swarm robotics. The project builds on well established computational and mathematical modelling techniques to achieve its aims. Departure points will be agent-based simulations, optimisation
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-centric healthcare innovations—that align with the University’s mission of improving health outcomes through technology. If you are excited about the opportunity to shape the future of data-centric
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning
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(plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community The Opportunity Join a dynamic team supporting Engineering Student Teams and
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07 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community The Opportunity Join a high-energy team supporting Engineering Student
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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the...
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About the Opportunity The Faculty of Engineering, within the Department of Materials Science and Engineering, is seeking a standout Research Fellow to join our team. In this role, you will play a key part
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine