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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 16 hours ago
. Our project aims to create a unified wildfire risk index that integrates observations and model data from NASA, including meteorological variables, fuel characteristics, topography, human influences
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
satellite data Ability to work with large data sets Ability to work within a team, excellent interpersonal and communication skills Attention to detail and organisational skills What we offer: Ambitious and
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a related field Experience with radiation transport codes (e.g., FLUKA, Geant4, MCNP etc.) Excellent programming and data analysis skills (e.g., Python, C++, or similar) Solid understanding
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required Working knowledge of all aspects of planning and deploying an AI project, including initial problem specification, data gathering and analysis, model creation, and implementation Strong
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/summerhanlab.html (link is external) How to Submit Application Materials: Please email a cover letter, CV, a short description of research interests, and contact information of three referees to: Summer Han, Ph.D
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environment using models and data assimilation. We study the fundamental processes in the near-Earth environment and focus on understanding fundamental processes responsible for the evolution of space radiation
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expected to have experience in hydrologic/hydraulic modeling and in one or more of the following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science
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Associates to join our team. In this role, you will be responsible for the installation and commissioning of the newly upgraded CMS detector, as well as the analysis of CMS data. If you are driven by curiosity
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protostellar evolution models to radiative transfer grids. The goal is to synthesize these protostar models into protocluster models and compare them to JWST and ALMA data. The applicant must have a Ph.D. in
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analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of