119 phd-in-architecture-interior-design-built-environment positions at Queensland University of Technology
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placements (honours, master degree, PhDs) and create a community of students who will learn together as they tackle these research challenges. More information including available projects and how to apply
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the instructions for applicants on the ACSPRI Fellowship Program website. About the scholarship PhD candidates at ACSPRI Member Institutions are invited to apply for the 2024-25 ACSPRI Fellowship Program. Valued
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with a research, teaching and learning base for a range of ecological, engineering, built environment and educational programs primarily relating to urban development, agriculture and their interaction
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What you'll receive You will receive: a minimum of $30,000 per year, for 3 years a QUT tuition fee sponsorship (for international students). Eligibility You must: fulfil our PhD admission criteria
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base for a range of ecological, engineering, built environment and educational programs primarily relating to urban development, agriculture and their interaction with natural ecosystems. The SERF
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an increasingly disrupted and challenged world. The School of Mechanical, Medical and Process Engineering delivers education and research into the design, manufacture and operation of Biomedical, Chemical and
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broad range of contemporary health-care related issues including: • Health Services Innovation • Integrated Care Models • Health Workforce Development • Symptom Management. What you need to succeed
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commitment to innovation and collaboration. You will be committed to fostering innovation in teaching, learning and research alongside strengthening QUT’s global reputation through impactful engagement with
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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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) 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