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through advances in statistical and mathematical AI and ML theory and algorithms. Examples of topics of interest include: statistically-principled methods for uncertainty quantification; operator learning
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at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks
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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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circuit boards and solder components. Perform programming of PLCs, single-board computers and microcontrollers. Integrate sensors and actuators with control algorithms to implement a control system. Send
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promising forward-looking research agenda. Areas of interest include operating systems, distributed systems, embedded systems, mobile computing, and cloud/data center systems. We are also interested in
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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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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
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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