384 parallel-computing-numerical-methods-"Simons-Foundation" positions at The University of Queensland in Australia
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(Academic Level A) Visa sponsorship is not available for this position Based at our St Lucia Campus About This Opportunity Join the UQ-GET team to work on numerical modelling and data analysis of two-phase
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Testing, Parallel Payroll Testing, and User Acceptance Testing. Work closely with the Program Test Manager, Senior Functional Business Analyst, and other stakeholders to translate business requirements into
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of the following methods would be desirable. (i) Biophysical methods to analyse molecular interactions. (ii) Protein crystallisation and/or structure determination. (iii) Protein design and computational biology
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-research partners, access world-class computing resources, and develop cutting-edge solutions in remote sensing and spatial data. Reporting to the Drone CRP Director, you’ll work closely with the Data
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engineering with a strong background in electromagnetic methods and data analysis who can contribute towards our program of research. This exciting opportunity involves conducting research
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meaningful, applied outcomes for Australian grain production. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, develop an emerging research profile
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, purchased leave, and a condensed fortnight Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for
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condensed fortnight Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their
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access to our Employee Assistance Program for staff and their immediate family Career development opportunities –access to exclusive internal-only vacancies and our Study for Staff program Salary packaging
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sector. Key responsibilities will include (for Academic Level A and B): Research: Design and implement data-processing methods to assess sewer operations and support predictive, real-time control. Develop