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The successful candidate will have opportunities to collaborate across the university with faculty in units such as the Department of Geography and Spatial Sciences, the School of Marine Science and Policy, the Department of Civil and Environmental Engineering, the Department of Plant and Soil Sciences, and the Department of Applied Economics and Statistics.
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The National Security Earth Science Group (EES-17) in the Earth and Environmental Science (EES) Division at Los Alamos National Laboratory (LANL) is seeking graduate research assistants for multiple geophysical projects to join us in our efforts to meet the nation's earth science, environmental science, energy development, and national security challenges.
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You’ll have a PhD in Computer Science, Statistics, or related quantitative field. We believe our peoplemake all the difference in cultivating an inclusive, down-to-earth culture that welcomes ideas, encourages innovation, and values belonging.
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The role fits into an existing team of passionate developers and earth science modelers with backgrounds in hydrology, fluid dynamics, meteorology, computer science, geographic information systems (GIS), environmental science, civil engineering, and statistics.
$130,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Computer Science, Machine Learning, Artificial Intelligence, Statistics. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth.
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Sony AI works closely with Sonys other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. Background in Machine Learning (PhD or equivalent experience) with a track record of relevant academic publications, patents, and/or open-source software.
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Experienced intersection of ML & Geospatial programming: Master's or Ph. D. in Computer Science, Machine Learning, Geostatistics, Geophysics, or any other Earth science or engineering discipline that leverages statistics, machine learning and/or high performance computing.
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Bachelor's degree with 4 years experience or Master's degree with 2 years experience in geophysics, physics, electrical engineering, earth science, or related field. Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act.
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Candidates will be considered from any specialization within surface processes/geomorphology; those focusing on coastal processes, natural hazards, or the cryosphere, and who use tools such as numerical modeling, remote sensing, and big data science are especially encouraged to apply.
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Job Summary Woods Hole Oceanographic Institution (WHOI) is the world's leading, independent non-profit organization dedicated to ocean research, exploration, and education; it is dedicated to advancing knowledge of the ocean and its connection with the Earth system through a sustained commitment to excellence in science, engineering, and education, and to the application of this knowledge to problems facing society.
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Software development will include data management and analysis systems using technologies such as linked open data, semantic search, and ontology engineering to solve challenging data discovery and integration problems spanning the environmental and earth sciences.
$74,300 - $94,140 a yearExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Experience with theory and practice of information retrieval, data science, machine learning and data mining.
$104,300 - $202,800 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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PhD in Atmospheric Science, Meteorology, Physics, Applied Mathematics, Statistics, Data Science, Engineering, or a related field. The contributions of EBSD staff are many as we continue to elevate the impact of PNNL's science mission: to understand, predict, and control the complex adaptive systems underlying the science behind Earth, energy, and security.
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The Dean of Science, Technology, Engineering, and Mathematics is responsible to the Vice President of Instruction for the administration of the division, including the disciplines of Biological Sciences, Physical Sciences, Earth Sciences, Mathematics, Network Engineering, Computer Science, and Health Sciences.
$178,152 - $226,356 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Our proven expertise and experience span scientific research, development, test and evaluation in areas such as earth and atmospheric sciences, engineering, data science and software engineering.
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