52 computer-science-programming-languages-"U.S"-"U.S" Fellowship positions at The University of Queensland
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opportunity to make a significant impact on both fundamental science and emerging applications Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek
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understanding of immunology, molecular biology, microbiology, biochemistry. Advanced experience with flow cytometry, PCR, ELISA assays, microbiology, immunology studies, tissue culture, bacterial culture and
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to contribute to student supervision and research development, as well as service and engagement roles and activities. Key responsibilities will include: Research: Contribute to and develop a research program
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coherent research program and apply best-practice methodologies. Supervision and Researcher Development: Support and supervise Honours and Higher Degree by Research students, foster researcher development
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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, and health professionals working together to create meaningful change. Enjoy flexibility and balance: We offer flexible work arrangements, wellness programs, and benefits tailored to your lifestyle
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Fellow to join The University of Queensland’s Node of the EarthBank Program — a newly established national geoscience initiative under NCRIS AuScope. EarthBank is a transformative program aimed at
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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Faculty of Science | School of the Environment Full-time fixed-term position for up to 15 months Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic Level A
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data, environmental health, or statistical modelling. A growing research profile in environmental epidemiology or quantitative public health. Expertise in statistical modelling and programming (e.g., SAS