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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago
, repeatable coverage of fire-prone regions. When combined with modern statistical and machine-learning approaches, these data enable robust mapping of fuels, assessment of burn severity, estimation of biomass
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 15 days ago
transfer modeling, which leverages in-depth temperature measurements to estimate surface heating conditions. These methods are also invaluable in high-enthalpy test environments like arc jet testing, where
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Job Description Do you want to do research on cutting-edge machine learning methods? If you are building a career as a researcher in machine learning and are passionate about working with cutting
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experimental methods. Develop and apply methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling. Contribute to biological manuscripts and methods
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: 6582425 Postdoctoral Employee - Artificial Intelligence - Electrical Engineering and Computer Sciences Department Position overview Salary range: The UC postdoc salary scales set the minimum pay determined
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bioinformatic methods to detect environmental adaptation. The methods will be tested using simulations of genomic data. The work consists of working in Uppsala University’s computer cluster as well as programming
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, ozone depletion, and radiative forcing by these gases at sub-national to global levels
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movements by correlating Planetscope satellite images: testing, validation, and development of specific processing methods. This postdoctoral position is funded by the Labcom project. Catastrophic ground
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, in particular to operator norm estimates and functional calculi. A further aim is to understand the relationships between these areas of operator theory. Positioned at the intersection of several