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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
the information they contain. This project, part of the Helmholtz School for Marine Data Science (MarDATA), will develop new data science methods to improve the interpretation of biodiversity patterns from long
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advanced digital technologies, with research spanning fundamental methodological development through to real-world application and evaluation. Key areas include AI, data science, trustworthy and explainable
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 18 hours ago
-Computer Science Job Title Job Category Administrative & Managerial FLSA for Position Exempt Brief Summary of Work for this Position Research Execution & Algorithm Development Collaborate with PIs to execute
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Department BSD SUR - OHNS: Thirty Million Words - R&D About the Department The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements evidence
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applications. ● Research and development of real-time estimation algorithms and adaptation to operating conditions Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility
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and automata, and the interaction between formal methods and artificial intelligence. We welcome candidates interested in topics ranging from foundational theory to the development and evaluation
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, memory usage, and scalability (as a function of network size and the size k of the subgraphs); - Research the most recent developments (post-2019/2021) in the field to identify any new algorithms
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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relationships between them. Possible directions for the project include (the final scope will be developed together with the candidate, and it is not necessary to cover all topics): Group fairness: developing and
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systems, autonomous vehicle control, robotics, numerical simulation and the ability to develop algorithms in research environments will be an advantage. - PROFESSIONAL EXPERIENCE. 50 % Prior experience