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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
Postdoctoral Trainee - Carolina Cancer Nanotechnology Training Program Vacancy ID PDS004947 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North
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genetics. Our research program uses integrative genomics approaches to define the molecular mechanisms by which genetic variation shapes endothelial cell biology and confers risk for coronary artery disease
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spatial omics, longitudinal biomarkers, computer vision, electronic health data) with cutting-edge AI, we aim to fundamentally transform Parkinson’s disease from a disease without cures into a predictable
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computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long
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licenses Must have a valid US Driver's License. Preferred Qualifications: Experience teaching veterinary students in a food animal clinical setting. Research experience in animal welfare. Department/Program
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contribute to grant development. Visa sponsorship is not available for this position. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U
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The Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Postdoctoral Researcher – Scientific Machine Learning & Computational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support
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warehouses, or other healthcare databases. Experience developing and applying machine learning, deep learning, natural language processing (NLP), computer vision, or large language models (LLMs) for biomedical
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. The successful candidate will play a key role in advancing the laboratory’s research program through the development of new technologies, data analysis, and contributions to scientific publications and grant