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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 | 23 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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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
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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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consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in
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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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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 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