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systems projects. We are developing the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid
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computers (e.g., parallelizing and distributing code). Experience in distributed data management and workflow systems. Preferred Competencies Ability to build systems where agents operate with independence
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University of California, San Francisco | San Francisco, California | United States | about 11 hours ago
on of effective approaches. This specialist may be required to utilize the elasticity of the AWS Cloud for Big Data Intensive (e.g. Hadoop/Spark) compute infrastructure and parallel system environment
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Engineering, Applied Physics, Applied Mathematics, Computer Science/Engineering, Geomatics, or a related field. You have knowledge of distributed, parallel, and high-performance computing suitable for handling
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the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid, AllScale and the ENTICE project. We
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. Dr. Tiziano De Matteis (who will be co-supervisor), is an Assistant Professor in the group. His interests are on Parallel and Distributed Computing with a focus on systems and programming models
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you an engineer who wants to contribute to the high
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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, appointment with tenure is possible. We particularly encourage applications from candidates whose research focuses on Computer Systems (including real-time and embedded systems, distributed systems, networking
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Deep Learning Computer Vision Edge AI, TinyML, and Embedded AI Explainable AI Safe AI Federated, Parallel & Distributed, Computing/Learning Control Systems Optimization Planning and Scheduling Human