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/10/2028 31/10/2028 1 (one) 1 (one) Candidates with biomedical engineering and biomedical science qualifications Candidates with biomedical engineering and biomedical science qualifications Please
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Degrees’ silicon based thermal energy storage technology, SiBrick®, to enable continuous hydrogen production from intermittent renewable electricity. The PhD student(s) will join the project to conduct
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. The candidate is expected to show interest and enthusiasm in scientific research in catalysis, energy, and engineering and to develop knowledge in renewable conversion technologies. Student type Future Students
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battery materials. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type Higher Degree by Research Citizenship Australian
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In this cross-disciplinary study, we will correlate inflammatory status and epigenetic monocyte programming, with depression in young and elderly, and male and female volunteers. In this cross-disciplinary study, we will correlate inflammatory status and epigenetic monocyte programming, with...
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Economics (CHE) Integrated PhD Program , you will receive rigorous training in advanced health economics and related studies. The Integrated Program starts with advanced coursework, research training and a
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are available in the Centre of Infrastructural Monitoring and Protection (CIMP), School of Civil and Mechanical Engineering at Curtin University, Australia. The successful candidates will work with Associate
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision