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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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, 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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, 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 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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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
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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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-on, operational knowledge of both GC-MS and UHPLC-MS/MS instrumental analyses and data processing. The successful candidate will focus on data generation and metabolomics analyses of various American Elderberry
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to our translational research in collaboration with stakeholders in the Kingdom and beyond. The applicant should have: Practical experience in large-scale field preparation, precision agriculture
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of innovative mass spectrometry-based workflows and data evaluation tools. The developed metabolomic and exposomic tools will be applied to address pressing research questions at the edge of environmental/food
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large-scale simulation data effectively. - Ability to conduct independent research while collaborating successfully in a multidisciplinary team, with a record of scholarly publications that reflects