212 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Fellowship positions in Australia
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, building upon our recent work published in Nature (https://www.nature.com/articles/s41586-025-09889-w ). Your Responsibilities As part of the role, you will be required to operate and maintain state
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graduate courses for your immediate family members! For more information check out our benefits page! Your new team - Department of Optometry & Vision Sciences http://www.optometry.unimelb.edu.au
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and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university
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manufacturing principles. Experience with machine learning methods and integration into hybrid modelling systems Demonstrated ability to clearly communicate research concepts and results in high-quality journal
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. Experience and demonstrated achievement in University and industry-level teaching and learning. Skills in bulk culturing of toxic phytoplankton, running large scale aquaculture experiments, conducting field
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
these values and is comprised of diverse networks nurtured through deep and sustained engagement. Read more about RegNet: http://regnet.anu.edu.au/ About the opportunity We are seeking a talented and energetic
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complex mathematical problems. Click her for more details or to apply Where to apply Website https://careers.pageuppeople.com/513/cw/en/job/687653/research-fellow-in-fracti… Requirements Research
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, louise.wallis@utas.edu.au or +61 3 6324 4484. Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. For current UTAS staff, in submitting your
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evaluating the efficiency and accuracy of both physics-based models and machine learning techniques, leveraging high-performance computing resources. The role will involve collaboration with leading
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(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering