2,029 high-performance-quantum-computing-"https:"-"https:"-"Univ" Fellowship positions
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Lawrence Berkeley National Laboratory - Physics | Berkeley, California | United States | 3 months ago
94720, United States of America [map ] Subject Areas: Physics / Quantum Sensing , HEP-Phenomenology (hep-ph) , hep-th , High Energy Physics , High Energy Theory , Particle Physics Appl Deadline: 2025/11
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statistical physics, solid mechanics, or fluid mechanics Experience with data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing or large-scale simulations
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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-erklæringen var sist oppdatert 23.02.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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Job Description Job Alerts Link Apply now Research Fellow, Computational Biologist (Life Sciences Institute, Neurobiology) University-Level Unit: Life Sciences Institute Faculty/Department-Level
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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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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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Investigator at the Hylleraas Centre for Quantum Molecular Science, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer simulations, including AI-based methods
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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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qualifications: Experience in statistical physics, solid mechanics, or fluid mechanics Experience with data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing