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Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part...
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory...
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in a related discipline. This project would suit motivated graduates from a wide range of STEM backgrounds—including environmental, civil, chemical or mechanical engineering, computer science, robotics
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Economics Mathematics Statistics Management Science & Engineering (more...) Computer Science and Electrical Engineering
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to how well they meet the following criteria: A first class or strong upper second-class undergraduate honours degree in Engineering, Mathematics, Computer Science or Physics Excellent English written and
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PhD Stipends within Distributed, Embedded and Intelligent Systems (DEIS) At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend is available within
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Position to be based at La Trobe Melbourne Campus. An amount of $40,000 per annum for 3.5 years, fee relief additional, fortnightly stipend. The position: This prestigious La Trobe University scholarship, in partnership with the Australian Office of National Intelligence, will be awarded to an...
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Position to be based at La Trobe Melbourne Campus. An amount of $40,000 per annum for 3.5 years, fee relief additional, fortnightly stipend. The position: This prestigious La Trobe University scholarship, in partnership with the Australian Office of National Intelligence, will be awarded to an...
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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National
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Description The majority of hydrological models rely heavily on the principle of mass balance, often represented through Ordinary Differential Equations (ODEs). These models encapsulate the conservation of mass within hydrological systems, ensuring that the inflows, outflows, and storage changes...