3,105 proof-checking-postdoc-computer-science-logic Postdoctoral research jobs in United States
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reasonable accommodations, please contact the Division's Office of Program & Employment Compliance at compliance@uada.edu . For general application assistance or if you have questions about a job posting
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has four broad research areas: the solid earth, surface processes, geobiology, and space/planetary sciences. The group involved in the postdoc project are also part of the cross-campus Astrobiology
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Apply now Job no:535477 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Research/Scientific/Grants, Earth Science Department: CAS Earth Sciences Rank: Research Assistant (Type B
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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SPECIFICS The Department of Electrical Engineering is looking to hire a Postdoctoral Scholar for Dr. Qiming Zhang's research group. The minimum qualifications as well as research themes are as follows
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SPECIFICS The School of Engineering at Penn State Behrend is seeking qualified applicants for a one-year postdoctoral scholar position, with the possibility of renewal. Candidates should hold a Ph.D. in
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at the University of Arizona invites applications for a Postdoctoral Research Associate position in theoretical nuclear physics and quantum information science, beginning in Fall 2025 or later. The successful
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Computer Science at the Nano-Optics and Advanced Health-Sensing (NOAHS) Lab by focusing on heterogeneous integration of transparent conductive oxides (TCOs) with silicon photonics, which will be primarily
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 2 days ago
used for quantum information science, which is important for both quantum computing and dark matter sensing applications. The postdoc will join the FPD Quantum group and will work at the SLAC milliKelvin
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science