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Field
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| Mechanical and Aerospace Engineering This Researcher 3 in the Department of Mechanical and Aerospace Engineering reports to Dr. Jami Shah in Digital Design & Manufacturing Lab. This position develops
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collaboratively within the CCIA team and coordinate with CCIA stakeholders and campus systems. Preferred Qualifications Experience in developing and deploying web applications that are accessible across multiple
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About This Role The Resource Demand Forecasting Lead will be responsible for managing and forecasting resource needs across multiple functions in our Quantitative Sciences and Development Operations
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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to develop and implement pulse sequences and reconstruction algorithms on Siemens and GE platforms. Assisting in protocol optimization to ensure consistency and quality across imaging studies. Providing
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team members to address complex challenges effectively. Key Roles & Responsibilities Develop computational methods and effectively resolve research problems utilizing multiple scientific methodologies
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WILL DO Design, develop, and operationalize deployment of complex, enterprise-grade AI/ML projects that leverage multiple platforms including Salesforce and Microsoft. Collaborate with cross-functional
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research initiatives that analyze the impact of AI technologies on social systems and design innovative methods for adapting economic and social governance to AI development. A special focus will be
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responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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with radioactive sources and at beamlines to test the performance of the NOVO prototype. Contribute to the development and testing of AI-algorithms for image reconstruction. Support NOVO staff working