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Field
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| Computer Science and Engineering Postdoctoral Scholar in Artificial Intelligence (AI) in and High Performance Computing The Systems and AI (SAI) Research Lab in the Department of Computer Science and
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applied to audio; and traditional signal processing. PREFERRED: Computational expertise: Experience with Pytorch, use of high-performance computing, experience with version control tools such as Github
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laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where appropriate Development of scalable numerical
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AI, autonomous experimentation, scientific agents, and scalable AI workflows for heterogeneous high-performance computing environments. The successful candidate will design, implement, and evaluate AI
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, and computational documentation. Performs large-scale data processing using high-performance computing (HPC) and cloud-based computational resources, when appropriate. Performs multivariable regression
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Classification Title: Postdoctoral Associate Theoretical and computational quantum information Classification Minimum Requirements: Ph.D. in Physics, Computer Science or closely related areas Job
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single-particle cryo-EM—to reveal the architecture, mechanism, and evolution of these defense systems. The postdoc will have direct access to a 200 keV Thermo Fisher Talos Arctica equipped for high
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, data-driven methods, or computational tools for analyzing relationships among polymer functionality, electrode properties, electrochemical performance, and material recoverability. Experience with
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theoretical predictions with measured data. Experience using high-performance computing resources for scientific simulation. Experience developing reproducible scientific computing workflows using version
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start date. Preferred Qualifications: Research experience in computer vision, NLP, geospatial data systems, or high-performance computing. Brief Description of Duties: The Postdoctoral Associate will