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visualization methods and large data set analysis. In addition to collaborating with other researchers and clinicians within the Department of Neurosurgery, we anticipate that the faculty member will develop new
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, and human resources. The overall goal of this position is to advance the Department’s capacity for data-driven decision making in key domains to achieve the vision of Brain Health for All, For Life. Key
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holistic growth and happiness. For more information on benefits programs, please review our Comprehensive Benefits Guide . Access our Total Compensation Calculator to see what your total rewards could be
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the various affiliate organizations (UCH, Children’s Colorado, CU Medicine, CU SOM) Ability to work within large, complex healthcare systems. Ability to analyze and interpret data. Ability to compile complex
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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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to timelines, budget, and quality. Provide exceptional communication and customer service to users of the facility. Prepare and present technical data and processing information to clients, as necessary. Work in
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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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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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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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. Computational Infrastructure: Deploy and maintain high-performance computing environments (GPU clusters, cloud services) for large-scale image-text experimentation. Data Engineering: Establish workflows