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modeling. Perform predictive modeling using high-performance computing (HPC) infrastructure. Validate computational predictions by collaborating with experimental groups conducting reverse genetics studies
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Sign In Create Profile Postdoctoral Research Associate-Computer and Information Research Tucson, AZ, United States | req23101 Apply Now Share Save Job Posted on: 6/11/2025 Back to Search
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering
: 6380074 University of California Irvine Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering Position overview Salary range: The salary range
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such as Python, and experience with Linux cluster computing environment is strongly preferred. Candidates should hold a PhD or equivalent doctoral degree in biostatistics, human genetics, bioinformatics
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science » Informatics Computer science » Modelling tools Mathematics » Applied mathematics Mathematics » Algorithms Mathematics » Computational mathematics Mathematics » Statistics Physics » Statistical physics Physics
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Zone Description The DOE Scholars Program is designed to attract talented undergraduate and graduate students, and recent graduates to research, technical and professional opportunities within U.S
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computing. Research Areas The postdoc will contribute to ongoing and new projects that may include: Quantum algorithms for simulating many-body nuclear systems and neutrino dynamics Qutrit-based and hybrid
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding