335 computer-science-programming-languages-"Prof"-"Prof" Fellowship positions in Australia
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Apply now Job no:577178 Work type:Full-time Location:Geelong - Waurn Ponds Categories:Research, Science As an Associate Research Fellow, you’ll work within a dynamic research program focused
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
College of Science and Medicine conduct research and deliver a research-led education program that encompasses the entire breadth of the sciences, supported by extensive international networks and by world
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contributes to a nationally funded research program focused on improving bowel cancer screening, early detection, and treatment in rural and remote communities—particularly among Aboriginal and Torres Strait
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to the successful supervision of research higher degree students. Strengthen and develop relationships locally and nationally with internal and external stakeholders. Investigate expansion of the research program
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practice. For at least the first three years, the appointee will lead and undertake a dynamic program of action research, centred on the curation and application of high-quality, evidence-based research from
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School of Electrical Engineering and Computer Science – Faculty of Engineering Part-time (40%), fixed-term position for up to 12 months Base salary will be in the range $114,824.05 - $136,048.72
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Engineering The College of Science and Engineering is a comprehensive provider of world class research and undergraduate and postgraduate programs in a range of science, technology and engineering disciplines
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University. Located within the School of Art and Design, the Design program combines contemporary design methods and digital technologies with hands-on making. It prepares graduates who are skilled, inventive
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Australia Application Deadline 14 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise and leadership in computer vision and machine learning research