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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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are firmly expected. The exact distribution of tasks between the positions, including the ratio of dry and wet lab work, is subject to discussion based on the skills and aspirations of the successful
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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