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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 1 hour ago
Continual Language Learning , ( ICLR ’20), Yuanpeng Li, Liang Zhao, Ken Church, Mohamed Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 12 hours ago
Position overview Position title: Moore Postdoctoral Fellow Salary range: A reasonable salary range estimate for this position is $69,073 - $71,632. The posted UC academic salary scales ( https
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organize and analyze biomedical and healthcare data to promote health for all. More information about BIDS can be found here: https://medicine.yale.edu/biomedical-informatics-data-science/ (Link is
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab ( https
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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Application Deadline 31 Dec 2027 2027-12-31 8:00:00 2027-12-31 18:00:00 Europe/Paris Postdoc position in Machine Learning for Integrative Genomics The Machine Learning for Integrative Genomics team (https
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: Geophysics Appointment Start Date: The start date is flexible, from as early as October 1, 2026 to as late as fall 2027 Group or Departmental Website: https://geophysics.stanford.edu/ (link is
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Show all breadcrumbs Postdoctoral Associate Position on Blockchain and Machine Learning in the Dr. Kuo Lab at Biomedical Informatics and Data Science, Yale University Tuesday, April 8, 2025
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Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize models