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scholarship. Skills in graph databases (Neo4J), machine learning and natural language processing are desirable. Project funding Project based scholarship Funding reference https://www.monash.edu/it/nextgen/ai-in-mental-health Learn more about minimum entry requirements .
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scholarship. Skills in graph databases (Neo4J), machine learning and natural language processing are desirable. Project funding Project based scholarship Funding reference https://www.monash.edu/it/nextgen/ai-in-mental-health Learn more about minimum entry requirements .
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from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against
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from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against
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, practice, and future directions of artificial intelligence and machine learning, with a particular focus on developing new learning paradigms, models, and disruptive architectures for electronic
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Primary supervisor Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance
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Primary supervisor Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance
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. This continuing Level B role offers the opportunity to combine high-quality teaching with research in biomedical signal processing, machine learning and related areas, while contributing to an
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mathematicians. In this role you will also conduct cutting-edge research in computational and applied mathematics, including but not limited to optimisation, scientific machine learning and AI for science
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development of Thematic Analysis tools and Machine Learning models, this role delivers insights to highly engaged academics that are eager for rigorous, evidence-based recommendations. Joining UNSW is