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Engineering, Computer Engineering, or Computer Science 2. Demonstrated, successful experience (academic or professional) programming in algorithm level languages such as Matlab/Simulink, Python, C# or similar 3
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Computer Science 2. Demonstrated, successful experience (academic or professional) programming in algorithm level languages such as Matlab/Simulink, Python or similar 3. Demonstrated, successful experience (academic
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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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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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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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academic and non-academic settings, involving design, building, and validation/testing of tissue optical spectroscopy and/or imaging equipment, as well as computational modeling of the interaction of light
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program at UD. This includes direct support for project and laboratory management, proposal writing, and teaching support. The successful candidate will have the opportunity to access the research