106 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at University of Dayton
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Position Summary: Join the University of Dayton Research Institute's (UDRI) Sensor & Software Systems Division as a Principal Software Engineer, where you'll be at the forefront of cutting-edge
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Software Engineer to join our Structural Materials division. This exciting opportunity allows you to contribute to groundbreaking research and development in the field of robotics, while being part of a dynamic and
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Position Summary: Unlock Your Potential at the University of Dayton Research Institute (UDRI)! Are you a DevSecOps Integration Software Developer seeking an opportunity to make a lasting impact
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Position Summary: Are you an experienced CNC Programmer passionate about sustainability and seeking a rewarding career opportunity? Look no further than the University of Dayton's Research Institute
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proven track record in business development? If so, we have an exceptional opportunity for you to join the University of Dayton's UDRI - Research Administration division as a Director of Business
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languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and performing systems integration and testing
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and testing software in high level languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and
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algorithms for OpenUxAS, e.g. path planning algorithms. Since OpenUxAS is implemented as a service-oriented architecture, we also plan to develop methods to compositionally verify that collections of services
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languages; to develop and test signal processing algorithms from concept to implementation; to rapidly integrate, test, and demonstrate hardware and software systems into a functional whole. A current United
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the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive correlation between in-situ process data and end part quality