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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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set by Curtin University. The candidate must have Master in geophysics or a related discipline, or equivalent degree. Language requirement (IELTS, Overall 6.5, Speaking, Writing, Reading and Listening
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave
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cooperation with Kopter Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called
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networks. Apart from the research project, the candidate is expected to contribute (~10% of total workload) to the teaching and supervision of Bachelor and Master students. The position will be supervised by
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machine learning are encouraged to apply. If you wish to discuss any details of the project informally, please contact Prof Suan Hui Pu, Smart Manufacturing and Systems Research Group, Email: suanhui.pu
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Regular Job Code 9742R5 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational
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one of the leading historians of his generation. His research offers an original perspective on the changing relationship between man and nature in the nineteenth and twentieth centuries. The jury
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. "Studying the origin of the new discovered class of weak CN stars in the Magellanic Clouds using stellar variability" "How do stars merge? Studying the merger between low and intermediate-mass main-sequence
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I supervise projects in particle physics. My main emphasis is on phenomenology, comparison of predictions with experimental measurements. I follow developments in flavour physics: weak decays