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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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based on their business need and budget. Responsibilities Developing data collection tools: Prepare and administer survey tools in Qualtrics, develop tools to monitor enrollment and data quality. Data
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, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments
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at http://www.sci.utah.edu/ . Opportunities for Professional Development Through the Cyberinfrastructure Professionals (CIP) Cooperative (Co-Op) at the SCI Institute, the successful candidate will access a
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at http://www.sci.utah.edu/ . Opportunities for Professional Development Through the Cyberinfrastructure Professionals (CIP) Cooperative (Co-Op) at the SCI Institute, the successful candidate will access a
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, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at http://www.sci.utah.edu/ . Opportunities for Professional Development Through
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, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at http://www.sci.utah.edu/ . Opportunities for Professional Development Through
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Exchange (https://scidx.sci.utah.edu/ ) with new use cases, features, and technology. We’re seeking Research Associates who can contribute to the research and development of advance data management and AI