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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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computational project. To do this project you would need to apply for a Monash Scholarship. Required knowledge A decent theoretical background in physics, computer science, mathematics, engineering
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computational project. To do this project you would need to apply for a Monash Scholarship. Required knowledge A decent theoretical background in physics, computer science, mathematics, engineering
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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Primary supervisor Chern Hong Lim Co-supervisors Bisan Alsalibi Yasmeen George Research area Data Science and Artificial Intelligence While deep learning has shown remarkable performance in medical
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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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