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maintain complex data models and cost studies, analyze large data sets, identify trends in data, draw conclusions, present results and develop follow up analyses. Work closely with key business partners
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improving and extending existing modeling frameworks such as the Large Basin Runoff Model (LBRM) and data-driven Artificial Intelligence (AI) approaches, including Long Short-Term Memory (LSTM) networks and
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. Previous experience with data management in a research, laboratory, or field setting, preferably in environmental sciences or related disciplines. Demonstrated experience working with large, complex datasets
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maintenance of large administrative datasets, statistical programming (i.e., coding), data analysis, and summarization and interpretation of the results. The individual in this position will also help determine
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. Experience working with large datasets in open-source software environments, particularly Python. Experience with data archival is preferred. Demonstrated experience in using or developing software systems
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skills - both oral and written. Ability to analyze large amounts of complex information to present simple and concise material to the appropriate audience. Experience developing organizational charts and
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projects, including large-scale or multi-site clinical trials and observational studies. Manage, analyze, and interpret large and complex health datasets (EHR, survey or claims data). Ensure appropriate data
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to the treatment of vascular disease; to monitor, interpret and record data; and to participate and quality assurance programs of the Diagnostic Vascular Unit. Duties include: Perform vascular diagnostic procedures
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leading large-scale accessibility audits, redesigns, and digital transformation projects History of stewardship over sensitive institutional data, a deep commitment to privacy/sec:urity standards, and
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. Responsibilities* The research assistant will assist in the design and execution of research project tasks, including: Conducting background research and literature reviews Entering research data and managing