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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
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platforms, photographs and documents events, and produces the monthly newsletter distributed to more than 3,000 readers. The position also mentors and leads student volunteers contributing to social media
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our society leads to massive changes in the energy sector. The future electricity system must be flexible, inclusive, digital, distributed, agile, and renewable, while the levels of reliability, safety
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closely with researchers as you co-design solutions that will enable the development & operation of new algorithms and software to solve leading-edge research problems. You should apply if You will find
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Job description Decarbonizing our society leads to massive changes in the energy sector. The future electricity system must be flexible, inclusive, digital, distributed, agile, and renewable, while
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, and WINC projects, focusing on quantum error correction, quantum machine learning algorithms, and other related topics, as well as contribute to research efforts in other CBA-N3Cat group projects
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Atlassian products (JIRA, Bitbucket, Confluence) Experience ensuring reliable data collection; monitoring and auditing integrity of data throughout its lifecycle Experience employing algorithms to model and
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algorithms to model and estimate data to handle missing/corrupt values; time series modeling and prediction Data technologies and data engineering – distributed systems, MQTT, ETL with databases with large