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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 27 days ago
://doi.org/10.3389/fenvs.2025.1473890 Madani, N., et al., & Miller, C. E. (2024). A machine learning approach to produce a continuous solar-induced chlorophyll fluorescence dataset for understanding Arctic
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 9 hours ago
of materials Proficiency in multi-physics FE simulations, topology optimization, and working knowledge of machine learning (ML) algorithms Demonstrated exceptional problem-solving abilities, a passion for
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will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models, and to develop user-friendly tools that will be used by a broad community
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by engaging in an R&D effort to develop the next generation pressure-assisted cryopreservation system and such other tasks that are assigned to you. Core Responsibilities: Computer modeling
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shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous working with materials requiring personal
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shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous working with materials requiring personal
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Pythonis; and experience with tokamak physics or machine learning techniques. The appointment will be for two years with the possibility of renewal based upon satisfactory job performance. Application
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in vitro models along with advanced 3D and 4D imaging technologies, we aim to illuminate key molecular and cellular mechanisms underlying human neural development and the pathogenesis of neurological
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with a particular focus on structural models tied with labor market surveys to study the role of beliefs in the labor market in both developed and developing economies. We seek a candidate with expertise