35 finite-element-analysis positions at Queensland University of Technology in Australia
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. The portfolio also includes the Assurance and Audit office, which provides independent analysis, appraisals, recommendations, advice and information about QUT’s internal control systems, effectiveness, and
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values diversity and views it as a contributing factor to student success. We invite applicants to showcase their diversity and performance relative to opportunity as part of the application process.
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: Mathematical Analysis of Cellular Systems (MACSYS) QUT node. MACSYS is intended to generate the mathematics and computational technologies required to make biology predictive; establish mathematical whole cell
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digital literacy, including the ability to rapidly acquire working knowledge of data analysis software packages. Demonstrated experience in qualitative and/or quantitative research techniques. Demonstrated
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; problem definition; requirements analysis; scoping and planning; procurement; designs and specifications; development/ configuration as appropriate; testing; training; data conversion; go-live and post
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digital literacy, including the ability to rapidly acquire working knowledge of data analysis software packages. Demonstrated experience in qualitative and/or quantitative research techniques. Demonstrated
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strategic capacity in both research and teaching within the School. We are seeking applicants with expertise in the development of new data analysis methods for challenging stochastic models. The ideal
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Medicine. This role oversees a comprehensive evaluation strategy, including tool selection, data analysis, and preparation of quality improvement reports. We’re offering this role as a hybrid position as
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models. Demonstrated experience in data analysis and visualization, particularly with environmental time-series data. Proven success at establishing and developing internal and external partnerships
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mutually beneficial, inclusive, and innovative partnerships to support student success. Demonstrated ability to realise value to students and stakeholders through insights and analysis of student learning