21 construction-management-informatics PhD positions at Queensland University of Technology in Australia
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-Sepsis Model of Care that supports and improves outcomes for children and their families in the weeks, months, and years following this devastating illness. Despite increasing recognition of the long-term
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obtained). You must commence your degree by 1 January 2026. Have a background as a health professional in intensive/critical care. How to apply Apply for this scholarship at the same time you apply
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of Research Excellence in Paediatric Palliative Care. The PhD program involves the design and conduct of a Discrete Choice Experiment (DCE) to explore how consumers prioritise different elements of paediatric
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living with DFD in cities get this care and this drops to <20% for those living in remote areas. This PhD project will be part of or augment a larger NHMRC Partnership Grant project ('The QFeet Study
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demonstrated ability to work in teams evidence of project management proficiency intrinsic motivation to solve problems and achieve short- and long-term goals a degree in dietetics and/or nutrition is preferable
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, care and support. However, one of the barriers to adoption is how to achieve safe and trusted contact support for robots who are physically interacting with people in collaborative and assistive roles
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areas Architecture Business Communication Design Education Engineering Health Information technology and games Justice Languages Law Mathematics and data science Project management Science Research
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opportunity to make a meaningful impact in the area of end-of-life law while collaborating with leading researchers and key stakeholders. Eligibility To apply for this scholarship, you must meet the entry
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What you'll receive You'll receive a stipend scholarship of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD (1.75 years for MPhil). The duration includes an extension of up to six months (PhD) or three months (MPhil) if approved for your candidature. This is the...
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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