173 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "https:" PhD positions in Australia
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Primary supervisor David Dowe Co-supervisors Paul Lasky Kendall Ackley Research area Data Science and Artificial Intelligence The recent discovery in 2015 of gravitational waves from colliding black
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areas of computer science. ML’s versatility stems from the wealth of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML
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., Castro Pena M. (eds) Computational Intelligence in Music, Sound, Art and Design. EvoMUSART 2019. Lecture Notes in Computer Science, vol 11453. Springer, Cham (arXiv preprint) Project funding Other Learn more about minimum entry requirements .
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areas of computer science. ML’s versatility stems from the wealth of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML
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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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correctness for an AI system in light of the explanations computed. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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correctness for an AI system in light of the explanations computed. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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pages) that demonstrates how you meet the following selection criteria: A degree in computer science, robotics, software engineering or a closely related discipline. Demonstrated expertise in AI
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interest in genetics, computational biology, or data science. A background in statistics, computer science, or related quantitative fields will be advantageous. AIM 1 : Improve predictive performance
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interest in genetics, computational biology, or data science. A background in statistics, computer science, or related quantitative fields will be advantageous. AIM 1 : Improve predictive performance