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Manufacturing and Packaging Micro/Nanoscale Manufacturing Human-Cyber-Physical Manufacturing System Industrial AI and Data Analytics Intelligent Quality Management Robotics in Manufacturing Biomanufacturing and
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Coordinator will oversee the collection of MRI data from recruitment through quality assessment and data analysis. Job Description The Perelman School of Medicine at the University of Pennsylvania is the
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. In particular, the successful candidate will have demonstrated experience in connecting imaging technologies, analytical platforms, data infrastructures, and diverse research communities. Further
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performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications Education: Phd Or Terminal Degree Or Combination Of Education And
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for Research to lead the department’s Center for Intelligent Imaging in promoting translational initiatives; the position will partner with the Director for Clinical Analytics to enhance data-driven approaches
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systems, and/or complex reporting functions.; Proficiency with enterprise data systems (e.g., Banner, PeopleSoft, Power BI).; Strong analytical, communication, and project management skills. Preferred
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
in the areas of clinical data processing, including but not limited to Natural Language Processing, Machine Learning, Advanced Analytics; bring awareness to the technical team of new technologies
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
in the nation. We also have a robust research enterprise with 10 PhD faculty, and $10M in sponsored research budgeted for FY26. OHNS has consistently been in the top 10 institutions for NIH funding
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team! Your personal sphere of influence: The Oscar Morgenstern Doctoral School (https://oscar-morgenstern-doctoral-school.univie.ac.at) provides a cutting-edge scientific training for doctoral candidates
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Required Qualifications PhD in Animal Science, Environmental Science, Agronomy, Plant Science, Soil Science, Agricultural Engineering, or related quantitative field. Demonstrated experience in GIS-based