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of uncertainty and complexity. Applicants must have: A PhD degree in a relevant field, e.g. urban geography, urban planning, innovation studies, (social) design (research), public administration
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Neuromorphic computing is emerging as a key technology for future energy-efficient artificial intelligence. At Peter Grünberg Institute- Semiconductor Nanoelectronics (PGI-9) , we develop innovative
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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making
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journals and conferences. Required Qualifications • Ph.D. in Electrical and Computer Engineering, Computer Science, or a related field. • PhD must be awarded no more than four years prior to the effective
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Classification Title: Post-Doctoral Associate in Philosophy and Ethics of Artificial Intelligence Classification Minimum Requirements: A PhD in Philosophy, Computer Science, or another AI-related
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. The labs are jointly pursuing projects probing the intersection of metabolism and computational neuroscience. We are seeking to integrate metabolic signals with canonical computational frameworks to further
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neuroscientists pursuing advanced research and development in neuromorphic computing, artificial intelligence, and spiking neural networks across a range of applications. A strong background in theory (e.g
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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Smart Damage Sensing, Sustainability and Green Energy Production), a multidisciplinary research program combining polymer chemistry, functional materials, photocatalysis, artificial intelligence, and high
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are looking for candidates to have the following skills and experience: Essential criteria 1. PhD qualified in a relevant subject area, such as theoretical physics, computational physics, quantum information