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Research Fellow (Machine Learning LEO Satellite Communications) Employer MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA Location North Ryde, Australia Salary $112,550 - $120,621 (Level A6-A8) per annum
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, and scalability. Successful candidates will participate in research activities in computer science, mathematics, data science, machine learning, and AI. Postdoctoral scholars will join a vibrant
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these areas will be preferred. Requirements: PhD degree in Learning Sciences , Educational Technology , Human-Computer Interaction (HCI), Information Technology , AI, or a relevant field Demonstrated
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learning, and mechanistic understanding of atomic catalysts Investigation of mechanism by in-situ and/or operando techniques and theoretical calculations Coordinate the collaboration with other researchers
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Position Announcement Utah Valley University (UVU) invites applications and nominations for the position of Associate Provost of Engaged Learning and Workforce Development. Engaged Learning and
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 9 days ago
Skip to main content FDA Artificial Intelligence and Machine Learning Fellowship Organization U.S. Food and Drug Administration (FDA) Reference Code FDA-CDRH-2026-0011 How to Apply To submit your
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Skip to content Morgans Foundation BDF Learning Potential Fund Scholarship Future and current student scholarship A Learning Potential Fund Scholarship offered via the Equity Scholarships Scheme
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 15 hours ago
Skip to main content FDA Artificial Intelligence and Machine Learning Fellowship Organization U.S. Food and Drug Administration (FDA) Reference Code FDA-CDRH-2026-0026 How to Apply To submit your
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Information Technology Industry-Based Learning Placement Grant This grant is awarded to high achieving students in the Faculty of Information Technology who undertake a placement with an industry
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https://sites.google.com/view/kejintao . Requirements Candidates should possess a Ph.D. degree in Transportation Engineering, Civil Engineering, Computer Science, Data Science, Operations Research