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HEALTH SCIENCES FOOD ENVIRONMENTS TEAM $143,582 to $164,982 P.A (ALEVC) PLUS 17% SUPERANNUATION JOONDALUP CAMPUS FULL-TIME OR PART-TIME, 12 MONTHS Overview Based within Edith Cowan University's Nutrition
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, preferably gas fermentation. Key responsibilities will include: Research: Contribute to an established research program in gas fermentation, collaborate on research projects, seek and manage research funding
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of the role The Research Fellow in health data science, will be a research-focused academic position working within the National Perinatal Epidemiology and Statistics Unit (NPESU), a unit of the Centre for Big
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The STEM College holds a leading position and expertise in the science, technology, engineering, mathematics and health (STEM) fields. We are uniquely positioned to influence and partner with industry, as
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the way we design, use, and reuse plastics ). The position relates to the SPW CRC’s Research Program on Materials and Design and specifically to a project to improve the production of biodegradable
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and protecting Kimberley rock art by bringing science and Aboriginal cultural knowledge together. RRA promotes the study of the art and its context to understand the history of Australia and its
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) Based at our Herston Campus . About This Opportunity Join a nationally significant program driving innovation in clinical trial methodology at one of Australia’s leading research institutions
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and
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for academic excellence and impact. This position will be jointly located within the School of Biomedical Sciences and The Kirby Institute, both within the Faculty of Medicine at UNSW. Prof Bull’s Lab is housed
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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing