10 complex-analysis-mathematics PhD positions at Queensland University of Technology in Australia
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Holistic Economic Modelling for Disaster Resilience Decision-making (CSIRO Industry Phd Scholarship)
About the project Standard cost-benefit analysis (CBA) frameworks have not been extensively incorporated across disaster resilience and risk reduction funding programs, due to the complexities in
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palliative care models. It comprises a number of sub-projects including a systematic literature review, a synthesis of existing qualitative data, and the design and analysis of a quantitative preference survey
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Creative arts Design Engineering English language and pathway programs Health Information technology and games Justice Languages Law Mathematics and data science Science Teaching Explore Mid-year entry QUT
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the field of robotics the application must be able to demonstrate that you are from an under-represented minority group in the fields of science, technology, engineering or mathematics. This may include
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English language requirements. Completion of a bachelor (honours) degree or master degree by research in: civil engineering geotechnical engineering petroleum engineering mechanical engineering applied mathematics
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methodologies, including conference ethnographic and or digital ethnographic approaches (e.g. interview and focus group research, discourse analysis or app walkthrough method) How to apply Apply
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polymer chemistry or tissue engineering. Strong skill set for data analysis and interpretation, coupled with excellent written and verbal communication abilities. Ability to work effectively in a
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modelling, statistics or spatial analysis, and/or experience facilitating workshops with experts and stakeholders in a professional manner. How to apply Apply for this scholarship at the same time you apply
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to manage large complex engineering problems with thousands of components, relationships, constraints and details. This project will use this systematic, searchable, analysable modelling technique to examine
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individual-level factors could expand the scope of our understanding by allowing for the complex interplay between individuals and their environment and the influence on road crash risk. The aim of the project