74 parallel-computing-numerical-methods research jobs at The University of Queensland
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damage in composite repairs due to environmental degradation and mechanical loading. This research requires deep understanding of analytical and experimental ultrasonic NDT methods, demonstrated knowledge
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responsibilities will include, but are not limited to: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice
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, and practices to end users, including the commercialisation of UQ intellectual property. Additional for Level B: Develop independence in your research program to achieve national recognition and impact
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independently and design/interpret experiments using in vivo animal models and ex vivo methods, adhering to PPE requirements (including PAPR use with restricted carcinogens). Demonstrated critical thinking
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. Expertise in the evaluation of novel predictive agriculture methods such as crop and cropping systems growth models to support decision making, i.e. economic control thresholds for abiotic stressors, input
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discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family Career development
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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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procedures Excellent oral and written communication skills and well-organised, methodical and self-motivated. The successful candidate may be required to complete a number of pre-employment checks, including
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many-body methods for multi-valence-electron atoms, with a focus on transition metals of interest for spin-crossover metal-organic frameworks (MOFs). The applicant will be involved in the development
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. The successful candidate will develop computational tools for analysing gene expression (single cell, spatial) and metabolomic data in the context of cancer including melanoma and pancreatic cancer. You will lead