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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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, 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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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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the areas of dark energy, exoplanets and infrared astrophysics. It is slated for launch in 2026. The Roman Science Support Center (SSC) at IPAC is a part of the Roman Ground Data System, providing algorithm
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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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, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint appointment with
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researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems. You will find this work exciting if you: Want
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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
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learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc. Excellence in at least one of