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based on clinical outcome studies and advance imaging analysis. In particular, the individual will be trained in advance biostatistics and imaging-based blood flow analysis. Responsibilities: Perform
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California State University, Northridge | Northridge, California | United States | about 16 hours ago
providing commercial and administrative services to California State University, Northridge. Our mission is to provide services and solutions that address the needs of California State University, Northridge
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working
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strength of materials and structural analysis and design at the undergraduate level. Review of applications is conducted in an ongoing manner according to need. Pay Range Qualifications A terminal degree in
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contributing to ongoing research projects. Under supervision, the student will assist with experimental procedures, data collection, and basic data analysis. This position provides an opportunity to expand
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Medicine. The mission of the OCR is to catalyze clinical research by providing expertise, resources, infrastructure, and systems that facilitate clinical research operations and enable collaboration across
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for an experienced Chemical Process Engineer to join its
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Key Job Purpose: We are looking for an early-career Analytical Specialist
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models (LLMs), medical image analysis, digital oncology, and multi-omics data integration. The successful candidate will establish an independent, well-funded research program, contribute to exceptional
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3 supports the mission of the university's Student Health center by managing, analyzing, and reporting clinical and operational data to support evidence-based decision-making, enhance clinical