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The University of Alabama in Huntsville- Earth System Science Center | Huntsville, Alabama | United States | about 9 hours ago
The University of Alabama in Huntsville (UAH) is seeking highly motivated data scientists with a PhD in a relevant science discipline and a strong background in computational sciences or data
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the field of high performance computer architectures, with focus on data analytics, workflows, and high performance computing. The proposed work defining API interfaces for data access and software modules
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models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced
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ROLE SUMMARY: The Commercial Analytics team at Pfizer is looking for a full-stack Senior Data Scientist Manager who is passionate about crafting and implementing predictive modeling and statistical
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the PhD students in CAMD. The Associate Director will be expected to plan and implement PhD student enrichment activities, inform college leadership on program trends through data analytics, and lead the
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students Education & Experience: · Applicants are required to have a PhD in Pharmaceutical Sciences and related field with experience in analytical methods including LCMS, HPLC, and characterization
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Department: SOM KC Family Medicine ----- Family Medicine Position Title: Data Manager - Family Medicine and Community Health Job Family Group: Professional Staff Job Description Summary
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learning, and natural language processing techniques. In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied datasets, designing specialized
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and part-time students. The School is launching two new degree programs, a BS in Sports Analytics and a PhD in Data Science; both will accept students in fall 2025. The mission of the School of Data
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that include large cohort and electronic medical record data. Ability to apply multiple analytical methods to address study goals. Handles all data activities and management for the PI's projects. This includes