54 web-programmer-developer-"INSERM" Fellowship research jobs at The University of Queensland in Australia
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studies. Manage technical assistance to sample and analysis field trials. Develop trait predictions for high throughput phenotyping analysis. Produces quality research outputs consistent with discipline
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the School of Mathematics and Physics at the University of Queensland, supported by the ARC Centre of Excellence in Quantum Biotechnology (QUBIC). You will develop your expertise and research profile
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A) Based at our vibrant St Lucia Campus About This Opportunity This is an exciting opportunity for a Postdoctoral Research Fellow to focus their efforts on developing their expertise and emerging
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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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methodologies. Supervision and Researcher Development: Supervise students and provide performance feedback and training to research support staff and supervisees. Citizenship and Service: Begin to develop
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reputable journals and utilise best practice research methodologies. Supervision and Researcher Development: Supervise students and provide performance feedback, training and mentoring to supervisees and
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activities. Key responsibilities will include: Research: Develop close scientific collaboration with other members of Queensland Metabolomics and Proteomics Facility and assume a leadership role in analytics
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the Queensland State Government to establish The National Quantum Computing Testbed Facility (NQCT). NQCT partners with CSIRO to develop a quantum software stack and with several industry partners for microwave
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, tracking project progress, and delivering timely reports to stakeholders and supervisors. Supervision and Researcher Development: Contribute to the effective supervision of Honours and Higher Degree by
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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