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data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning, Computer Vision and Signal Processing allows us to
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currently limiting the growth of renewable energy. The goal is to develop innovative methodology and technology that will facilitate the widespread integration of renewable resources into electricity grids
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Research Fellow in Advanced S/TEM Methods (2 positions) Job No.: 663647 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed term appointment with the potential of renewal
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Opportunity to make valuable contributions to research in green hydrogen production supported by the Australian Renewable Energy Agency Research (ARENA) Accelerating Commercialisation (TRAC) Program Base salary
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supported by the Australian Renewable Energy Agency Research (ARENA) Accelerating Commercialisation (TRAC) Program Base salary, Level A, $105,350 - $112,462 p.a. + 17% superannuation About the opportunity
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data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning, Computer Vision and Signal Processing allows us to
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Aerospace Systems, Chemical, Civil, Computer Systems, Electrical and Electronic, Environmental, Mechanical, Mechatronics, Medical, and, Renewable Energy as well as degree programs in Surveying and Geospatial
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national research priorities. Core Responsibilities Undertake research under limited supervision to achieve project grant outcomes; i.e. develop and test a renewable energy driven, food drying technology
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Apply now Job no:522863 Work type:full time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity The School of Photovoltaic and Renewable Energy Engineering (SPREE) has
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the complex and challenging issues currently limiting the growth of renewable energy. The goal is to develop innovative methodology and technology that will facilitate the widespread integration of renewable