365 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" positions at Monash University in Australia
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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candidates holding (or eligible to obtain) a valid student visa. Candidates with strong academic and research track records are particularly encouraged to apply. For further information, please follow the link
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Project Description Recent advances in mixed reality (MR) technology, which seamlessly blend the physical environment with computer-generated content around the user, have reduced the barriers
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Co-supervisors Ting Chee Ming Dr. Chong Lor Huai Assoc. Prof. Anne Yee Assoc. Prof. Satoshi Ogawa Prof. Jiangning Song Prof. Terence O'Brien Prof. Patrick Kwan Dr Shahid Javaid Dr Ana Antonic-Baker
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educational offerings are current and relevant, and conducting impactful cutting-edge research. For more information about our Department, please visit our website: https://www.monash.edu/business/marketing
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. For more information on the work we do, please visit our website: http://www.monash.edu/vpfinance The Opportunity The Strategic Sourcing Manager position is an important role that drives the development and
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accounting, business strategy, the University's banking relationships, investment funds and borrowings and the management of major projects with complex financial and legal dimensions. For more information on
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The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information
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new approaches for a playful human-computer integration future. For more information see http://exertiongameslab.org The result will be a thesis in the field of interaction design.
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to studying learners’ engagement with feedback have relied heavily on self-reported data. While informative, self-reported data can be susceptible to bias, poor memory, and incorrect self-assessment