21 virtualization-"https:"-"https:"-"https:" PhD positions at Queensland University of Technology
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-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
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collaborator award PhD Top-up award travel grant – international travel grant – domestic other (by prior arrangement). Further information about what you will receive will be provided following successful
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, nominate Dr Andrew Stephens as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details section. About the scholarship This PhD project
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pages) of your scientific career, including: a summary of your final project from your most recent degree a paragraph on your research interests contact details of 3 referees (email, address and phone
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to $10,000 (tax free for full-time students) and $5,000 as a training allowance. Eligibility These scholarships are open to domestic students only, including New Zealand citizens. About the scholarship
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about potential research projects, please contact Prof Toby Pavey . For information on how to apply for this scholarship, please contact hdr@qut.edu.au . What happens next? Applicants will be contacted
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of the financial details section. About the scholarship This project will investigate ecoacoustics through the perspective of traditional land management practices. With events like the Black Summer wildfires
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Teixeira as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section. About the scholarship Ecoacoustics is rapidly gaining
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to proceed with the university PhD application. About the scholarship Project overview Join a groundbreaking research initiative investigating how personal networks shape how people prepare for and respond
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letter of offer for the program if all conditions have been satisfied. About the scholarship Project details The project investigates distributed and edge intelligence for smart grids with distributed