441 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at Monash University in Australia
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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis
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find some of our publications here: https://i.giwebb.com/research/computational-biology/ Required knowledge A solid grounding in artificial intelligence and machine learning. Learn more about minimum
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There is an opportunity to prototype interactive muscle memory systems and study their use in order to understand what designers can learn from remembering activities that involve the active human
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Project description: Nowadays, data-driven machine learning algorithms are well suited to solve real-world problems that require high-level prediction accuracy. However, it seems as if nothing beats
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The world is dynamic and in a constant state of flux, yet most machine learning models learn static models from a dataset that represents a single snapshot in time. My group's research is
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. The result will be a thesis in the field of interaction design, contributing to our understanding of experiencing the human body as play. For more info see http://exertiongameslab.org
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. For more information on the work we do, please visit our website: http://www.monash.edu/vpfinance The Opportunity The Strategic Sourcing Manager position is an important role that drives the development and
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the work we do, please visit our website: http://www.monash.edu/vpfinance The Opportunity The Category Manager position is an important role within Strategic Procurement, responsible for shaping
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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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of statistical signal processing, inference, machine learning and dynamical systems theory to develop new semi-analtyical filtering approaches for state and parameter estimation to infer neurophysiological