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Family Foundation. The scholarships are intended to supplement an existing Australian Government Research Training Program Stipend Scholarship (RTPS) or similar institutional PhD stipend scholarship
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Application dates Applications close30 June 2025 What you'll receive You'll receive a stipend of $33,637 per annum for a maximum duration of 3 years while undertaking a QUT PhD. This is the full-time, tax-exempt rate which will index annually. You will receive a tuition fee offset/sponsorship,...
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering For further information, please follow the link for each Graduate Research Degree ● 3291 - Doctor
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and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering To be eligible to apply for domestic postgraduate research scholarships an applicant must be
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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nanoparticles in drug delivery or diagnostics, familiarity with cellular targeting, and use of computational tools to model nanoparticle behaviour. Experience in a regulated research environment is also
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Monash mentoring program. Not only do I gain satisfaction from helping my student mentees, I've gained leadership and communication skills to help in my future career. Am I eligible? You must be one
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fee sponsorship for the duration of the course through Research Training Program (RTP) Amount: 100% fee remission and up to $120,400 Duration: One or more years Quantity: 1 Eligibility and selection
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed