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Qualifications • Ph.D. in fisheries, biology/ecology, statistics, or related fields. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility
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identifying structures and processes that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 06/25/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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to care, and 2) the award-winning Business Analytics Department at Tippie College of Business, which specializes in machine learning, data science, and mathematical optimization, among other topics
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for Analytical Dynamic Sys Position Summary: Our research team has an immediate opening for a postdoctoral fellow to participate in an exciting project in biomedical modeling and diagnostics, funded by National
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
program by the start of the fellowship year. Must have the following: Analytical Skills: Proficiency in analyzing complex datasets and integrating clinical information with genetic data. Communication
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harmonized core “menu” of imaging, behavioral, and symptom measures combined with a standardized analytic pipeline applied consistently across studies, enabling biotype-based analyses and cross-project
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar-Surgical Oncology
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neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio-)Statistics