42 computer-science Fellowship positions at The University of Queensland in Australia
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process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated
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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to
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of natural gas (up to ~20%), while their emissions to the atmosphere greatly impact global air quality and tropospheric chemistry. SCGA oxidation by anaerobic microorganisms makes up an essential SCGA sink
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Alliance for Agriculture and Food Innovation (QAAFI). This is a unique opportunity for you to focus your efforts on developing your expertise and emerging research profile in advanced polymer chemistry in
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School of Chemical Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $114,824.05 - $136,048.72 + 17% Superannuation (Academic
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compounds that target bacterial cell wall biosynthesis. As a Postdoctoral Research Fellow, you’ll collaborate with leading experts in natural products chemistry, microbial genomics, and bioinformatics. Your
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research team working at the intersection of nanotechnology and clinical sciences. You will contribute to the development of cutting-edge technologies for precision diagnostics, biosensing, and application
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Physics, Chemistry, Materials Science, or a closely related discipline. An emerging profile in research in computational condensed matter physics, materials science, or chemistry. Demonstrated expertise in
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Faculty of Science / School of the Environment Full-time fixed-term position through to end of September 2027 Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation
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interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis