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Field
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models and machine learning. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Experience in epigenetics or gene
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of the post-doc is to study how innovations in AI, especially adaptation of Large Language Models (LLMs) architectures for time-series data, can be used in study of aging, health span, and longevity
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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. INSAIT has also excelled in other areas of computer science such as machine learning, computer vision, and robotics, with publications in leading venues like CVPR, NeurIPS, ICML, and ICLR. Structured
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Posting Information Posting Details Department Biomedical Engineering - 424601 Posting Open Date Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
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Position Title: Postdoctoral Research Associate - Ames National Laboratory Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: Would you like to work for a
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focus on machine learning in the Stanford Center Cancer Cell Therapy at Stanford University School of Medicine. We seek a highly creative and motivated scientist to perform cutting-edge computational
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Research Associate - Biogeochemistry Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Soil Biogeochemistry Lab is seeking an exceptional postdoctoral research
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for this post-doc position if: * You have earned a Ph.D. in a relevant discipline (Materials Science, Physics, Chemistry, or a related engineering discipline) within the past five years or will complete your
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a