585 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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Date: August 15, 2026 (negotiable) Specialty Areas: Computational Linguistics, Language Acquisition, Cognitive Modeling, Machine Learning The Department of Linguistics at the University of Michigan
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) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical. The successful
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2026. Successful candidates will have particular interest in both fundamental materials/inorganic/physical chemistry as well as applications including energy, spintronics, and quantum computing
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The Y-Lab is seeking a postdoctoral fellow for projects in the following areas: Optical-to-optical quantum frequency transduction UV–visible integrated photonics Heterogeneous integration of silicon
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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
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streaming frameworks • Experience preparing geospatial assets for real-time or simulation environments • Background in distributed or high-performance computing systems Salary: $60,000.00 - $70,000.00 College
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Posting Details Posting Details Posting Number F01043P Position Title Part-time Lecturer - Archer Fellowship Program Functional Title Part-time Lecturer - Archer Fellowship Program Department Honors
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to develop robust, scalable data analysis and predictive classification workflows for high-performance computing environments. Contribute to JGI strategic milestones related to AI-driven functional genomics
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 7 days ago
scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments. Learning Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Develop