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, software, human-computer interaction, ...). We also work very much interdisciplinarily with colleagues from other faculties, e.g. on bio-diversity matters, on physical aspects, on modelling aspects, and on
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. Experience with computational modelling is desired. The successful candidate will teach undergraduate and graduate level units, including on the following topics: 1) climate science, 2) climate modelling, 3
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, scientific machine learning and AI for science, numerical mathematics, inverse problems and scientific computing. The successful candidate will demonstrate expertise in the design, analysis, and/or application
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limited to optimisation, scientific machine learning and AI for science, numerical mathematics, inverse problems and scientific computing. The successful candidate will demonstrate expertise in the design
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background in AI/ML, data science, or signal processing Interest in music informatics, emotion modelling, or multimodal AI Ability to implement and evaluate machine learning models independently Commitment
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Orica Engineering Scholarship Achieving Potential Scholarship for Distinction Orica Engineering Scholarship as supported by Orica by established to support equity scholarship to benefit students in
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MMG Women in Engineering Scholarship Achieving Potential Scholarship for Excellence MMG wish to actively promote female participation in Engineering by providing philanthropic support to encourage
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Australian permanent resident Australian humanitarian visa holder You must meet the following criteria: A student commencing a Botanical Sciences Honours Program in the Faculty of Science at a Monash campus in
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Microbiology in Water Engineering Scholarship The Microbiology in Water Engineering scholarship be introduced to encourage students to begin thinking about the interdisciplinary of planetary health
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Executive Dean, Faculty of Medicine, Nursing and Health Sciences and Vice-President (Health) Significant leadership appointment at Australia's largest and most international university Shape