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well as on practically and industrially relevant research problems Extensive training and possibility to learn the cutting-edge experimental and data analysis methods. Access to world-class international large scale
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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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-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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/ Data Analytics Artificial Intelligence, Machine Learning and Autonomy Appl Deadline: 2026/06/17 11:59PM (posted 2025/06/17) Position Description: Apply Position Description The Skinnider Lab
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 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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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
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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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, 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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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 Physics Position Overview Development and production of large-scale, custom-designed digital signal processing readout systems for the ATLAS Liquid Argon Calorimeter Upgrade at CERN. Creating and