49 parallel-processing Fellowship research jobs at The University of Queensland in Australia
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for the manufacture of computer chips. The project is supported by the Australian Research Council Linkage Project “Innovative Double Patterning Strategies for Integrated Circuit Manufacture” and is within
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to establish The National Quantum Computing Testbed Facility (NQCT). The goal of NQCT is to develop the first Australian open-access quantum computer with direct access to quantum and control hardware. NQCT
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have several years’ experience in the use, operation, and troubleshooting of flow cytometers and cell sorters, and/or a willingness to be trained in these techniques. You should also have experience in
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’ section above Other Information UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted
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opportunities via the academic promotions process. About You Completion of a PhD in social psychology with a focus on jury decision making. A growing profile in research in the discipline area. A developing
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quantum computer in Australia and aiding the Director in delivering the strategic goals for the Facility. This includes responsibilities for long-term operational planning, strategic budget management
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and nitrogen from the anaerobically treated effluent by a novel dual-membrane biofilm process and to clarify the functional microbial communities and stratification in anoxic and oxic biofilms and
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working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You We are looking
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the academic promotions process. About You You will have an emerging record in circuit-QED quantum computing (or relevant), demonstrating an increasing recognition for research platform impact and an interest in
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of artificial intelligence, Human-Computer Interaction, and human-centred computing. The position focuses on developing and evaluating computational models for recognizing, interpreting, and measuring human