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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
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detection. Manage data with custom-developed filtering techniques. Use the data in architectural design processes involving reuse to create design options for reused component distribution using machine
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fuel distribution, combustion processes, and overall engine efficiency. Project description The primary objective of this project is to explore flow and mixing phenomena in direct-injected hydrogen
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courses each year. We also have extensive national and international collaborations with academia, industry and society. This position is funded by the WASP program, and as such comes exciting career