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Field
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, as a doctoral researcher, will: Explore energy–delay efficient unconventional computing architectures through both simulation and experimental prototyping Perform iterative hardware–algorithm co-design
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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ Background and description of tasks Our group develops new single-cell multiomic methods to characterize microbial
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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and hardware for future neuromorphic systems. You will also gain profound experience in research-software engineering by actively participating in the developer community of the leading simulation code
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traffic data processor capable of performing tasks like flow classification, anomaly identification or intrusion detection at Gbps without the need for external hardware or time-consuming cross-plane
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on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal platform
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assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working
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when collecting video games? How have museums historically dealt with similar complex, composite objects (hardware, software, source code, documentation, media, and living histories)? What testimonies
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the NordForsk project ‘RISK-AI’ 230778. https://www.nordforsk.org/projects/responsible-innovation-and-social-kn… and is based at the Department of Computer Science in Trondheim. The candidate will work
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software