662 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at Monash University
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produced, ‘is this image part of a series’, and/or ‘have we seen an image from a similar place or time before’? This inference needs to be done by extraction and recognition of relevant features from
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fullest potential so that I can strive to help and make a positive influence on those around me. The impact it has had on me and the continuation of my course cannot be understated and I'm forever grateful
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With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth
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) Number offered Variable (Depending on funding) See details Bachelor of Medical Science and Doctor of Medicine Imogen This scholarship has contributed to my achievement of publishing my first paper as
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Insects are vital components of natural and agricultural ecosystems that interact with plants in complex ways. Computer simulations can help us understand these interactions to improve crop
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research methods. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value
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, from contributing to something groundbreaking – a place where great things happen. We value difference and diversity , and welcome and celebrate everyone's contributions, lived experience and expertise
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008
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. Digital Creativity 27(1) McCormack J. (2017) Niche Constructing Drawing Robots. In: Correia J., Ciesielski V., Liapis A. (eds) Computational Intelligence in Music, Sound, Art and Design. EvoMUSART 2017
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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