302 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Fellowship positions in Australia
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, Computer Science, Mathematics or a related field. Demonstrated experience developing software to support research outcomes. Strong written and verbal communication skills. A track record of scientific
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to these values and are looking for a Postdoctoral Research Fellow in Quantitative Analysis of Economic Impacts of Ultra-Processed Foods who has: PhD in Economics, Mathematical Sciences, Computer Science
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campuses of the University About You The Research Fellow will join a collaborative research community across the School of Science and Research Institutes. Working closely with established research teams and
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programme in entomology at The University of Sydney, hosted within a supporting research group. The fellowship provides protected research time, mentorship, and practical enabling support so the fellow can
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program focused on developing, evaluating and integrating emerging weed‑control technologies for Australian broadacre cropping systems. Whether you are an emerging researcher or an experienced postdoctoral
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· Part time fixed term until 2 March 2027 · Research Fellow role supporting research program in skin cancer prevention and treatment for high‑risk populations-including high risk kidney
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people who discover them The Opportunity The Faculty of Engineering, Department of Mechanical and Aerospace Engineering, is seeking an exceptional Research Fellow – Acoustic Sensing to join an innovative
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+ 17% superannuation About the opportunity This position offers an opportunity to join a dynamic research team focused on multisectoral food systems policy and public health. Our research programme is
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Queensland Alliance for Environmental Health Sciences Two (2) full-time, fixed-term, research focused positions Base salary will range from $83,698 – $111,431 (Academic Level A) + 17
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completion) in computer science, electrical engineering, AI, machine learning, remote sensing, robotics, or a closely related discipline. Demonstrated expertise and research track record in deep learning and