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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Title Post-Doc Research Associate Vacancy ID PDS004892 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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Posted on Fri, 06/26/2026 - 12:27 Important Info Faculty Sponsor First name: Ruben Faculty Sponsor Last Name: Colman Stanford Departments and Centers: Pediatrics, Gastroenterology, Hepatology, and
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ANR project which involves a puri-disciplinary team of researchers including machine learning, speech science, cognition and behavioural studies. This Post Doctoral position will be co-supervised by
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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, and machine-learning-force fields. The initial appointment is for one year, with the possibility of renewal contingent upon satisfactory performance. For additional information about this position
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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The University of Iowa HealthCare Department of Radiology invites applications for a Post doc Research Scholar to join an innovative research team. This position offers an exciting opportunity to contribute
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monitoring in manufacturing environment Develop modular, extensible workflows for data processing Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal