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University of Kansas Department of Civil, Environmental, and Architectural Engineering | Virginia, Northern Territory | Australia | about 13 hours ago
The Civil and Environmental Engineering Department at Virginia Tech is seeking a Postdoctoral Researcher with expertise in hydrology, water quality, machine learning, and eXplainable AI
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, and independence. Skills and Experience To be considered for this position, you will have; A Degree with subsequent relevant experience to consolidate the theories and principles learned, or extensive
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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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-achieving postdoctoral researcher to join a world-leading research group in Computer Security and Machine Learning as well as Computer Science department ranked 48th in the world and The University
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legislation. Strong analytical skills and demonstrated experience in the collection, manipulation, analysis and reporting of data. Demonstrated computer skills, including experience with financial systems and
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Intelligence/Machine Learning) to articulate their value proposition and contribution in a context of increased specialisation? This topic may include consideration of opportunities for leveraging AR/VR/IoT/MR
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
and machine learning, galaxy formation and simulations, integral field unit observations. Applications are encouraged from researchers who wish to undertake novel and collaborative research as part of
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skills in the use of a wide range of computer applications in a network environment particularly the use of the Microsoft Office suite in a large organisation or the ability to rapidly acquire
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: Library Services the Reference Librarian team is a cross functional team that assists in supporting the teaching, learning and research activities of the University in various service areas of the Library
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Australian National University | Canberra, Australian Capital Territory | Australia | about 5 hours ago
spectroscopy and stellar abundances, stellar structure and stellar evolution, chemical evolution modelling, large survey data, statistics and machine learning, galaxy formation and simulations, integral field