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of urbanization on precipitation, and aerosol-cloud interactions Strong modeling skills and high-performance computing experience Experience with model code development, and strong programming skills (e.g., Fortran
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Aerosol and Cloud Microphysics group, part
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 22 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis
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aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs Summary: UM6P invites applications for post-doc, in
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modification (SRM) to provide an objective assessment of their feasibility. You will work on High-Resolution Modelling of Marine Cloud Brightening and Marine Sky Brightening. Studies have shown that injection
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as Earth and atmospheric sciences, environmental science, hydrology, ecology, computer science, math, statistics, or related fields. Strong programming experience (e.g., Python, Fortran, or C++) and
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international level, to address the UM6P challenges in terms of research and education, covering all aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine
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environments, cloud computing, or GPU-accelerated machine learning Background in Monte Carlo Tree Search (MCTS) or reinforcement learning for sequence generation Familiarity with biological sequence alignment