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University of Kansas Department of Civil, Environmental, and Architectural Engineering | Virginia, Northern Territory | Australia | about 8 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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Who are we looking for? We are seeking a Casual Student Success Partner (Retention) (multiple positions available) to join Learning and Teaching Unit, Education Portfolio, Academic Division
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Machine Learning. Experience with or potential to build industry collaborations would be highly valued. In teaching, the appointee will teach into one or more of our degrees, including the undergraduate
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institution focused on its purpose of changing lives through revolutionary learning and research with real impact. Our game changing Southern Cross Model brings a deeper learning experience, improving
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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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Science, Machine Learning, Big Data Analysis, Distributed Computing and Cybersecurity. We have recently redesigned our undergraduate programs to provide a common foundation in programming for all SCT
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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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needs. Professor Kannan Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and
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needs. Professor Kannan Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and
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in the use of a wide range of computer applications (particularly Microsoft Excel, Word and PowerPoint) and the demonstrated ability to rapidly acquire proficiency in new computer applications. Sound