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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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areas is considered a strong merit: Aircraft design (concpetual design and performance evaluation) Propulsion systems (performance, and integration) Multidisciplinary modelling (combining engine
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Sign In Create Profile R&D Software Engineer Tucson, AZ, United States | req25369 Apply Now Share Save Job Posted on: 3/6/2026 Back to Search R&D Software Engineer Posting Number req25369 Department
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application! How does AI transform how firms create value and compete? We are launching a new research project to explore how specialised AI models are reshaping the conditions for value creation and innovation
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, experience-driven service model that integrates agile delivery, UX design, and data-informed decision-making. Ensure that workplace, teaching, and research technologies are reliable, secure, and continually
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software development. E3 Experience in training deep learning models relevant in research projects at scale. E4 Experience of applying good software engineering practices including but not limited
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-driven analysis. Students will assist faculty researchers with literature review, data analysis, modeling, documentation, and general research support activities across a range of aviation-focused studies
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
medical ultrasound. The successful candidate will be responsible for designing data-driven models that enhance the accuracy, robustness, and computational efficiency of FWI workflows. Key duties include