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MRIs (available in HIE cases) and radiomic features predictive of school-age MRI extracted. Machine learning algorithms of radiomic features predictive of future brain development will be developed
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Lab Research Assistant - Contractual - (2600008I) The Juarez Lab (https://www.thejuarezlab.com/ ) at the University of Maryland-Baltimore (Baltimore, MD) is seeking to hire a contractual Laboratory
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options are NOT available for this position at this time. The Research Associate Data Scientist participates in biomedical research projects using programming, data - mining, statistics, machine learning
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/Certification Advanced Practice Registered Nurse (APRN) or Physician Assistant-Certified (PA-C) with appropriate certification Physical Requirements Sitting at computer workstation for extended periods. Lifting
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/Certification Advanced Practice Registered Nurse (APRN) or Physician Assistant-Certified (PA-C) with appropriate certification Physical Requirements Sitting at computer workstation for extended periods. Lifting
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 22 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 20-Mar-26 Location: MD Type: Full-time Categories: Administrative/Support Staff/Administrative Internal Number
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selection criteria Experience with AI / probabilistic AI / Machine Learning / Reinforcement Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Personal
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Professor, Associate Professor or Full Professor, who are passionate about teaching and working with students in a variety of learning environments, with the primary responsibility of teaching. We are seeking
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Posting Details Posting Details Job Title Patient Clerical Assistant/UKHC Requisition Number RE53311 Working Title PCA - OB Admin Department Name H3061:KCH-MATERNAL Work Location Lexington, KY Grade
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of full-time staff, post-doc and PhD scholars, and student research assistants have worked with over 500 community partners serving low-income families with young children in Chicago and across the US. We