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using approved approaches and their properties tested and optimised using advanced analytical techniques. Process tolerance and performance of the novel ingredients will be also examined for relevant food
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The scholarship provides a minimum stipend of $34,481 each year for three years to perform experimental investigations and developing mathematical models to valorize waste and produce carbon nano
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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affect surface outcomes, benchmark against conventional techniques, and evaluate performance of the finished components. You’ll also delve into intelligent automation and machine learning to optimise
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apply for admission to QUT's Doctor of Philosophy or Master of Philosophy . The first step is to email Prof Cheng Yan providing a CV detailing your academic performance (GPA), research experience and
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Candidate will use techniques such as germline/tumour sequencing data, plasma analysis and work with patients’ immune cells work to identify key functional targets. They may perform epigenetic techniques, DNA
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information processing, this project will extend the current on-chip capability by adding semiconductor quantum dot integration. This will provide on-chip single photon emission and determine gate operation
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include placing machine vision cameras, performing laboratory trials of closed-loop plant care for example with a gantry robot, comparing day and night imaging, and developing and evaluating automated and
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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storage and greenhouse gas upgrading at reduced operation temperatures featuring high efficiency, selectivity, superior stability, and cost effectiveness. This project should provide significant benefits