24 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions at Queensland University of Technology
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to QUT's Doctor of Philosophy or Master of Philosophy . The first step is to email Prof Cheng Yan providing a CV detailing your academic performance (GPA), research experience and skills, publications
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Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a three-month industry engagement component with Gelomics a structured professional development and
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scholarship A fully funded PhD position (AUD 37K) is available in the QUT's School of Chemistry and Physics in Brisbane, Australia starting in January 2026. The project focuses on the development
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apply for admission to QUT's Doctor of Philosophy or Master of Philosophy . The first step is to email Prof Cheng Yan providing a CV detailing your academic performance (GPA), research experience and
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fabrication facilities as well as high performance computing (HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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-developed knowledge of Australian media and culture. Demonstrate excellent capacity and potential for research. You must develop a research proposal that responds to and aligns with the scholarship topic and
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Holistic Economic Modelling for Disaster Resilience Decision-making (CSIRO Industry Phd Scholarship)
with QRA (est. six months total over the course of the PhD), including opportunities to work on live government initiatives and contribute to policy guidelines. A structured professional development and
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courses. Browse all courses Take your development further with advanced learning and award pathways. Pathways to Politics for Women Public Sector Management Enterprise Leadership For organisations Achieve
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use