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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 30 days ago
: 238003 Vacancy ID: PDS003562 Position Summary/Description: T32 Postdoctoral Fellow position. This is a one-year, time limited position with the possibility to extend to 2 years. This is a computational
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Collins Genomics Lab to lead pioneering studies of genetic risk for cancer based on large-scale genome sequencing datasets towards the ultimate goal
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that directly relate to this position. The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine & Bioinformatics, is seeking candidates for a postdoctoral research fellow position
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internationally known, unique facilities. This team has developed state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water
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in the position and outline skills and experience that directly relate to this position. Job Summary The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine
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, and ionization cross sections using data derived from experiment and computation. - Implementing algorithms to study the performance of AI/ML classification models. - Assessing
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, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models, with objectives to amplify