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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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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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, Health Sciences, Nursing, or a related field. Strong communication and computer skills (e.g. MS Office, Redcap, data management/analysis programs and other electronic communications). Experience working
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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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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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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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) 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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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