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20 articles, in the scientific area that the Competition is open, indexed in the Science Citation Index Expanded of the Web of Science from Clarivate Analytics where document type = article or document
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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(posted 2025/08/25, listed until 2026/02/25) Position Description: Position Description A full-time postdoctoral position is available immediately at the Division of Hematologic Malignancies and Cellular
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Developing statistical, graph, and/or machine learning models to study transaction networks, illicit transaction patterns, and DeFi protocol operations Creating and evaluating tools, documentation, and open
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, Louisiana 71272, United States of America [map ] Subject Area: Chemical Engineering / Chemical Engineering Appl Deadline: (posted 2025/07/25, listed until 2025/09/01) Position Description: 2025/09/01 11:59PM
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exercise the functions of developing new hydrometallurgical processes for the leaching of black mass from lithium-ion batteries and the separation of critical metals using alternative solvents, within
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of research activities in the scientific area of Biotechnology, Biochemistry, Biomedical Engineering, Chemistry, Chemical Engineering, and Materials Science and Engineering, with a view to developing 3D disease
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transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport
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to important applications. We educate future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Quantum
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
officials to make proactive, data-driven decisions. This project directly addresses this capability gap by developing a sophisticated, next-generation wildfire risk assessment system. Our approach is founded