71 computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Monash University in Australia
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The candidate should have a strong background in optimisation and/or computer science. Learn more about minimum entry requirements .
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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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. The candidate must be able to implement custom training loops, handle complex data pipelines, and modify model architectures. Software Engineering: Strong Python programming skills, including
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. Number offered Two scholarships per year: one in the Humanities and Social Sciences (HASS) disciplines. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection
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spectroscopy and Gaia data of star clusters to decipher the mystery of the Lithium-rich giant stars" (with Prof John Lattanzio) "The origin of the heavy elements: Computer simulations of neutron-capture
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content. Similarly, computer vision models are implemented to analyse images and videos for symbols, gestures, or contextual clues associated with radical groups or criminal activities. Multimodal
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Primary supervisor Rob Teather Research area Embodied Visualisation Presence is the subjective feeling of "being there" that differentiates virtual reality (VR) systems from other forms of computer
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suited for a student with good skills in mathematics and computer science, and an interest in information theory and evolutionary science. PhD applicants with honours or research masters degree in an
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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