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to the Quantum Defect Genome effort to discover and validate novel emitters for quantum information science. What You Will Do: Perform advanced optical measurements, including cryogenic and magneto-optical
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
Previous Job Job Title Post Doctoral Fellow - Computational Biology (Dr. Wan's Lab) Next Job Apply for Job Job ID 56921 Location Columbia Full/Part Time Full-Time Add to My Favorite Jobs Email this
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Information Science and Engineering Department: ERIK | Center for Quantum Information Science and Engineering The Center for Quantum Information Science and Engineering (CQISE) is a University Center focused on Ohio
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structural geology or tectonics (especially crustal fault in South America) Familiarity with high-performance or cloud-computing environments What we offer: Ambitious and varied tasks in a dynamic and
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Position Details Position Information Internal Posting? Posting Number SP004690P Position Title Postdoctoral Research Associates, Statistical and Computational Modeling Division/College University
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cloud computing; Latex Does this position have supervisory responsibilities? No Preferred Education/Experience PhD in computer science, physics, engineering, statistics or applied mathematics is required
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, Physics, or a closely related field. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software
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of clinical and multi-omic data to uncover microbiome–host relationships -Experience with Python/R and cloud computing required Ideal candidate: A computational biologist or bioinformatician with strong
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computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the
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Apply now Job no:535376 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science, Data Science Department: CAS CIS Computer & Information