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Position Summary: This position will be responsible for working, as part of a diverse and skilled technical team, to write and test software in high level languages, and to develop and test signal
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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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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
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive
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multispectral data, running necessary algorithms, validating outputs, and analyzing results. Candidates can familiarize themselves with the previous version of the model using the open-access code https
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Position Summary: The postdoctoral research fellow will be responsible for assisting and developing externally-funded research programs at UD related to spacecraft systems engineering and spacecraft
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machine learning tools to inform optical technology development Special Instructions to Applicants: To apply please submit a cover letter addressing each minimum qualification and any applicable preferred