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Field
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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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algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities
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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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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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Duties/Tasks: Research and Development Formulate and analyze models for transmission/distribution, microgrids, and shipboard power systems (steady-state and dynamic). Design optimization and control
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. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software packages for data
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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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publication, conferences, and/or software distribution. Fellows receive a generous travel and research budget, and have access to the institute's powerful scientific computing resources. Tremendous
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• Flexibility to learn new technologies, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc