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For over a century, X-rays have been used to visualise the internal structure of opaque objects, driving major breakthroughs in healthcare, industry, and scientific research. Conventional X-ray imaging, based on absorption, provides good image contrast between high- and low-density materials,...
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. Through application of a representative learning design framework this project will explore how representative are the training activities undertaken in different in game phase (set play / offensive
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The Australian Institute for Machine Learning (AIML) offers new PhD scholarship opportunities in Industrial AI. These full-time scholarships support students undertaking their PhDs in AI and machine
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CSIRO IPhD Scholarship - Investigating the interactions between sulfide minerals and in-situ recovery fluids for sustainable copper mining The CSIRO Industry PhD Program (iPhD) is a four-year
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CSIRO IPhD Scholarship - AI-empowered visual recognition system for dairy cow identification, health and behaviour monitoring and detection The CSIRO Industry PhD Program (iPhD) is a four-year
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to study a PhD focused on Chemical Engineering or other relevant fields, e.g. Material Science & Engineering. Eligibility criteria Applicants are required to: Full-time enrolment Show the capacity to carry
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faced by real people and creating a lasting impact. Join us and help to create a world that is more inclusive and equitable. If you are interested in undertaking a PhD with MATS and you meet the criteria
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Kickstart your career with CSIRO’s Industry PhD Advancing circular economy: critical minerals recovery from mineral sands processing and TiO2 pigment residues at Tronox Tronox is a proud leader of
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track