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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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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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particular emphasis on RISC-V based processors, AI accelerators, and open-source hardware toolchains. The Senior Research Fellow contributes to the University’s mission by conducting high-impact research
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Switzerland. Develop a prototype hardware implementation of different signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS
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) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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algorithm-hardware co-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms. Develop methods for efficient deployment of AI models
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. Demonstrated technical proficiency with modern computing hardware, software, and networking technologies. Experience conducting research and publishing academic or technical papers. Knowledge of cybersecurity
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Response or Security Operations organization. Demonstrated technical proficiency with modern computing hardware, software, and networking technologies. Experience conducting research and publishing academic
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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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. AutoTraits is tackling a major bottleneck in crop development: slow, costly manual phenotyping. By combining cutting-edge algorithms with flexible, hardware-agnostic data capture, the project enables breeders