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Field
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of hormone-dependent breast cancers." PI: Dr Barbara Pucelik Project Description: The project aims to develop innovative (nano)hormone chemotherapy for hormone-dependent breast cancers expressing the HER2
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candidate will play a key role in ongoing and developing studies investigating the interplay between longitudinal cognitive outcomes, metabolic and vascular risk factors. The postdoc will work closely with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 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
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end of operations; they develop the science operation systems for the missions and conduct the mission science operations in flight; they archive and curate the mission data during operations and beyond
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, cartography, data visualization, data wrangling, GIS, programming, and/or web development. • Ability to think creatively, solve problems, and work well in a diverse, collaborative setting. • Ability to use
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-changing and fast-paced sector. The position is funded by CAR, a 20-million-dollar investment by the Commonwealth to enable machine learning research, strategic development of programs and translation
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opportunities to gain research experience, professional development, and work on project with a dynamic interdisciplinary team. Duties and Responsibilities: The successful candidate will focus on the development
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in the implementation of the programs and projects in special areas of interest to the laboratory. Contributes to the development of performance standards, selection of methodology and instrumentation
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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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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