28 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"https:" positions at Queensland University of Technology in Australia
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What you'll receive The P2P program provides financial support if you're: studying a PhD or professional doctorate articulating from a QUT Master of Philosophy into a PhD undertaking a postdoctoral
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Childhood). How to apply You must apply directly to the Employing Queensland: Innovative Pathways to teaching (EQuIPT) program . All students accepted into this program will receive a scholarship. You do not
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phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features
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) EU72 Maser of Teaching (Early Childhood). How to apply You must apply directly to the Employing Queensland: Innovative Pathways to teaching (EQuIPT) program . All students accepted into this program
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What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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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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Doctorate to Postdoctoral Fellowship (P2P) Program . The P2P program supports Indigenous Australians to gain a doctoral research qualification and follow a pathway into academic positions. Students
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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