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Full time fixed term for 12 months at Camperdown Campus Opportunity to join a pioneering research program focused on digital innovation, quantum-enhanced modelling, and resilient infrastructure
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Requisition Id 16765 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of HPC
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The Application Specific Intelligent Computing (ASIC) Lab at USC’s Information Sciences Institute (USC’s ISI) invites applications for a post-doctoral position in Silicon Photonics, with a focus on
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Postdoctoral Trainee - Carolina Cancer Nanotechnology Training Program Vacancy ID PDS004947 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North
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with public and private data sets (e.g., O*NET and Lightcast). A computer science background and the ability to build data pipelines are a plus, as well as fluency in modern AI tools. This position
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-career scientist to develop cutting-edge machine learning approaches for understanding and designing pathogen antigens. This is a unique opportunity to help shape a new research program at the intersection
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The Zhi Laboratory at Yale University (Department of Biomedical Informatics and Data Science) is seeking a highly motivated bioinformatician or computational biologist (Ph.D.) to join a method
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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Title: Postdoctoral Research Asspociate - Dr. Yanxiao Han's Computational Biological Laboratory Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across