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of informatic tools for analyzing large-scale datasets Additional Information: The College of the Arts and Sciences Department of Microbiology is seeking a Post Doctoral Scholar. The College of Arts and Sciences
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, Machine Learning and Autonomy Computational Biology / Data Analytics Appl Deadline: 2026/06/17 11:59PM (posted 2025/06/17) Position Description: Apply Position Description The Skinnider Lab at Princeton
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)function. Our approach develops methods to interpret high-performing deep learning models to distill knowledge that they learn from big, noisy biological sequence data. Our goal is to elucidate biological
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
Posting Information Posting Details Department Lineberger Compr Cancer Center - 426801 Posting Open Date 06/16/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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, for the analysis of these samples on the stable light-isotope-ratio mass spectrometer (IRMS), and for the modeling of the data. The position also requires preparation of manuscripts based on experimental results
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candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale
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postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's
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associate. We are conducting several large randomized clinical trials, cohort studies, and surveillance programs, in India, Latin America, and the United States related to nutrition, infectious diseases, and
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of oysters, genomic forecasting, evolution of structural variants, and population genomics. More information on lab projects can be found in our lab publication record and our lab website: https
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energy physics group at Texas A&M University invites applications for a postdoctoral research associate position to work on the CMS experiment at the Large Hadron Collider (LHC). The TAMU CMS group, led by