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systems in firmware algorithm development and simulation. We are also active in R&D using AI in custom electronics as well as in distributed computing. The Pitt ATLAS Group is led by Professors Joe
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 11 days ago
Education Level Bachelor Degree or equivalent Skills/Qualifications Technical Skills: MPI. Slurm. SAT/PB solving (Basic level). C++. Specific Requirements Knowledge: Algorithm. Distributed systems
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research topic that has been strongly developed in recent years with the rapid evolution of connected distributed systems, where data protection has become essential. The hardware part of digital
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-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis. The opportunity to do a Ph.D. in a dynamic, international research
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provide communications services to ground users. The positions are funded by the ARIA EndAP programme: https://aria.org.uk/opportunity-spaces/adaptive-machines/enduring-atmospheric-platforms/funded-projects
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outcomes, including subgroup differences and unintended burdens. Contribute to ethics, privacy-by-design, data governance, algorithm safety, open/reusable project outputs, publications and uptake
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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 11 days ago
well as higher-level parallelism based on concurrent tunneling processes. For exemple, the researcher will investigate hybrid optimization strategies, notably based on distributed island models, in
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
such as GPM, particularly over regions where ground radar and gauge networks are sparse. In the reverse direction, high-resolution precipitation fields (e.g., MRMS) provide spatially distributed
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cryptographic methods alone may not be sufficient for highly dynamic, distributed, or resource-constrained wireless systems. The project aims to develop, implement, test, and demonstrate physical-layer
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multimodal sensor observations can be jointly exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and