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Because of the drastically increasing demand from AI/ML applications, the computing hardware industry has gravitated towards data formats narrower than the IEEE double format that most computational
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automation methodologies and software infrastructure for next-generation computing systems, including neuromorphic and emerging hardware platforms. The position involves designing high-performance algorithms
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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designing and running user studies, building and iterating on hardware and software systems, analyzing data, and writing up results for top-tier venues in mobile computing and human-computer interaction. CMU
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cognitive neuroscience across the Departments of Neurosurgery, Psychiatry, Neurology, and Neuroscience at BCM as well as the Department of Electrical and Computer Engineering and Neuroengineering Initiative
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The University of Chicago Academic Jobs Research Assistant Professor - Computational Particle Physics Enrico Fermi Institute, Physical Sciences Division Position Type: Other Academic Appointee
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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Traces (ALT) lab at the Department of Psychological and Quantitative Foundations has an open Postdoctoral Scholar position for an individual with expertise in computational and quantitative methods
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experience with design and manufacturing; research experience in ergonomics; hands on experience with robotic hardware and tool usage in a field environment; proficient in design software using solidworks, 3-D
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hardware architects to establish how agentic AI and these languages co‑design with heterogeneous HPC systems (CPUs, GPUs, PIM, AI accelerators). Study performance and portability tradeoffs, leveraging