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software engineering, Bayesian modeling and approaches to data analysis. Key Responsibilities: Preprocessing and data scientific approaches to analyzing human behavioral data Computational model development
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designs such as observational study, randomized clinical trial, adaptive randomizations, Bayesian analysis of randomized trials, conventional meta-analysis, meta-regression, and network meta-analysis Work
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randomizations, Bayesian analysis of randomized trials, conventional meta-analysis, meta-regression, and network meta-analysis. · Develop as an educator by taking an active teaching role in POCUS and EBM
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principles and analytic methods relevant in health services research Advanced knowledge of statistical computing and/or Bayesian inference Advanced programming skills in a common statistical software package
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to implement advanced computational pipelines, including machine learning, deep learning, Bayesian inference, and probabilistic mixed membership modeling for innovative research. · Contribute
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innovation and continuous improvement across Centers. o As feasible, design programs that incentivize inter-Center collaboration, such as pilot grant competitions, shared resource pools, and targeted
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close collaboration with GME leadership, stakeholders, and the Office of Medical Education to identify target metrics for dashboarding, visualization and reporting. · Identify end-users, target
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Strategic Marketing Manager will support the CU Innovations team and the goal of increasing campus revenue streams by leading the implementation strategic plans, and managing market research, targeting and
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feasible, design programs that incentivize inter-Center collaboration, such as pilot grant competitions, shared resource pools, and targeted institutional investments. o Support communication and
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for the treatment of cardiovascular disease (CVD) in diabetes. Within this research, the team investigates the role of sex differences in CVD pathology and potential impact on therapeutic targets. The Keller lab is