89 Computer-Science-"https:"-"https:"-"https:"-"https:" "https:" PhD positions at Monash University
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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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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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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
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research and practical analytical chemistry applications. Required knowledge The ideal candidate will have a strong background in Computer Science, Data Science, or Information Technology. Demonstrated
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with social media datasets or behavioural analytics Basic understanding of psychology, personality models, or persuasive technology Nice to Have Background in human-computer interaction Knowledge of
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with social media datasets or behavioural analytics Basic understanding of psychology, personality models, or persuasive technology Nice to Have Background in human-computer interaction Knowledge of
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record. Requirements: WAM > 80 relevant research experience and top publications high self-motivation Required knowledge MLLM, deep learning, computer vision, generative AI, large foundation model, Learn more about minimum entry requirements .
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record. Requirements: WAM > 80 relevant research experience and top publications high self-motivation Required knowledge MLLM, deep learning, computer vision, generative AI, large foundation model, Learn more about minimum entry requirements .