40 parallel-and-distributed-computing-"Multiple" Fellowship positions at The University of Queensland
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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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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity Join the Computational Multiphysics Laboratory (CML) at UQ’s School
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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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research outputs in high quality outlets, participate in research funding applications, collaborate on joint research projects, contribute to transfer of knowledge, develop a research program, and utilise
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School of Electrical Engineering and Computer Science Part-time (40%), fixed-term position through to April 2027 Base salary will be in the range $82,057.75 - $109,246.18+ 17% Superannuation
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research profile as a Research-focused Academic in the Queensland Alliance for Agriculture and Food Innovation at UQ. The Research Fellow will be responsible for leading a tissue culture program for
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for a National Intelligence Discovery Grant (NIDG) project, in collaboration with researchers in the School of Computer Science and Electrical Engineering who are focusing on antenna design. It is
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translation and commercialisation. Develop a coherent research program and apply best-practice methodologies. Supervision and Researcher Development: Support and supervise Honours and Higher Degree by Research
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Opportunity Our School of Psychology is one of the most prestigious schools of psychology in Australia, with a thriving and dynamic research profile in Cognitive and Computational Psychology. This is an
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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