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. Expanding their impact in real-world deployments requires addressing the heterogeneity of hardware, data, and resource availability in distributed scenarios. This research will explore novel approaches
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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
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the NordForsk project ‘RISK-AI’ 230778. https://www.nordforsk.org/projects/responsible-innovation-and-social-knowledge-artificial-intelligence-risk-ai and is based at the Department of Computer Science in
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We invite applications for a PhD position in hardware-aware deep
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setting, enabling fast and predictable adaptation with minimal overhead. A central focus is the co-design of algorithms with edge hardware and embedded platforms. You will investigate implementation
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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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partners will be a crucial factor for success. Your tasks in the project will revolve around designing and building a DUV microscope with a strong focus on the optical hardware implementation and
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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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), on a fixed-term contract until December 31, 2026. The position is created within the project “ISS Contribution to ALICE Physics, Computing, and Hardware – ISSconALICE.” Where to apply E-mail