30 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs at UNIVERSITY OF MELBOURNE
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computational methods such as machine learning or automated proof systems. Demonstrate the ability to secure research funding and develop international research links. Excel in teaching mathematics
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approaches, methodology and/or applications. You'll contribute to cutting-edge research, teach diverse audiences, and supervise students at all levels. You'll also collaborate with researchers across
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opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in
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. The University of Melbourne provides an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and
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include: Fostering excellence in research: developing and maintaining a distinguished track record of innovative research outputs. Advancing teaching and learning: leading and innovating in the delivery
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research: developing and maintaining a distinguished track record of innovative research outputs. Advancing teaching and learning: leading and innovating in the delivery of cohesive courses for undergraduate
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the American College of Veterinary Anesthesia and Analgesia (ACVAA) - https://acvaa.org/ . The residency is supported by board-certified specialists at the University of Melbourne, along with additional clinical
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for specialisation in Veterinary Anaesthesia and Analgesia, leading to Board examination by the American College of Veterinary Anesthesia and Analgesia (ACVAA) - https://acvaa.org/ . The residency is supported by
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-reviewed publications, patents, license agreements, government reports, and research or scholarship of learning materials. Actively contribute to teaching, including the development and delivery of taught
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, including emergency admissions and after-hours care. Teaching and Learning: Contribute to the clinical and pre-clinical education of DVM students through lectures, practicals, student assessments, and