41 computer-science Fellowship positions at The University of Queensland in Australia
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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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                Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation Full-time, fixed-term position for up to three years Base salary will be in the range $80,448 - $107,104 + 17 
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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