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well as data collection on a large scale longitudinal cohort study collecting family-level data; will train and then carryout mixed-methods measures with families (e.g., anthropometry, mHealth technology
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business acumen in the healthcare data space and a proven track record of developing and implementing strategic initiatives in complex, fast-paced environments. The ideal candidate will be both a big
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information. Possess project management skills, effective analytical and problem-solving skills, works well under pressure, and is highly organized, proactive, diplomatic, and capable of managing multiple
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. Computational Infrastructure: Deploy and maintain high-performance computing environments (GPU clusters, cloud services) for large-scale image-text experimentation. Data Engineering: Establish workflows
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scalability and efficiency. Conduct experiments, analyze results, and refine algorithms for improved performance, interpretability, and robustness. Work with large-scale datasets, applying data preprocessing
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to enhance the resilience and protection of campus assets effectively. Engage and collaborate with campus partners to gather insurance underwriting data, assess new risk exposure requests, and prepare
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educate, celebrate, and support our students from the time of acceptance through graduation. This position requires the ability to work with a high degree of independence, utilizing best practices and data
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immune responses in cancer. Lead Data Analysis and Computational Modeling Apply coding and computational tools to analyze large datasets, synthesize findings, and generate visualizations that inform
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purchasing activities through COR360, CU Marketplace, and via procurement card, in adherence with purchasing policy. Responds to requests for information; research financial data and troubleshoots
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onboard the MMU, or at an ARTS AOP clinic, such as: Manipulate data in electronic patient health records systems. Accurately collect, track and record patient fee payments. Enter data into and maintain