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large electronic health record data, claims data or other clinical administrative data Constructing derived longitudinal variables with large clinical administrative datasets Psychiatric epidemiology
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data cleaning, organization, and statistical analysis. Familiarity with working with large or complex datasets. Strong organizational skills and attention to detail. Ability to work collaboratively in a
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an Assistant Professor of Research with expertise in computational genomics, bioinformatics, and biomedical informatics/AI/ML to lead the analysis of large-scale genomic datasets. The candidate will direct
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, the AI Generalist, and CUIT technical partners, this role will translate requirements into scalable technical solutions using programming, machine learning, large language models, prompt engineering, data
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essential), PowerPoint, publishing software, social media, etc. Ability to analyze and work with a large volume of student, employer, and related data. Must be willing to work on occasional evenings and
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), PowerPoint, publishing software, social media, etc. Ability to analyze and work with a large volume of student, course, and other types of data. The ability to interpret and apply standards and to communicate
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candidates with teaching interests in Artificial Intelligence (AI), including classical AI, Large Language Models (LLMs), Generative AI (GenAI), Reinforcement Learning, and Multimodal AI, from both theoretical
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related experience At least three years' experience in positions of increasing responsibility in custodial services or a related field, preferably in a large complex organization Experience managing staff
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for Admissions for the programs they support, evaluating applications for admissions consideration. Additionally, this role leads on supporting school-wide initiatives and recruitment related systems and data
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Qualifications Bachelor?s degree or minimum four(4) years of direct experience in healthcare professional fee billing, coding, and/or compliance, preferably in an academic medical center or large healthcare system