22 pattern-recognition-"https:" "CMU Portugal Program FCT" PhD positions at Monash University
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Doctor of Philosophy (PhD) on Phase Transformations in Advanced Steel Design Scholarship Opportunities at Faculty of Engineering Job No: 685997 Location: Clayton campus Employment Type: Full-time
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, prevention strategies Forensic epidemiology - patterns of mortality, population health insights International humanitarian issues - forensic response in crisis settings, mass casualties, disaster victim
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, risk factors, prevention strategies Forensic epidemiology - patterns of mortality, population health insights International humanitarian issues - forensic response in crisis settings, mass casualties
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to apply for a PhD to undertake research enhancing adaptive platform trial (APT) design to improve efficiencies in research generation and accelerate the impact of research on health outcomes. The PhD
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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with chronic and life-threatening conditions. Work on WP-1 will suit someone with an interest and aptitude for collecting primary data from patients and the general public. It will require co-design of
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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research
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. The candidate will receive expert supervision from leading scholars in digital media, communication, design research, and Southeast Asian digital transformation, and will benefit from entering a project with an
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opportunity for a PhD candidate to shape the future of space-mission design through AI. The project focuses on building and evaluating a generative-AI requirements regulatory compliance solution that helps
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forces shape people’s lives and for those who want to apply empirical tools to questions with real social impact. It will suit those who enjoy working with data, thinking carefully about research design