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Field
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 6 hours ago
/cloud observations), and scientific analyses of data sets from the lidars alone or in conjunction with other field data or coincident satellite remote sensing data. Candidates may work with past data sets
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The University of Alaska Anchorage (UAA) Department of Computer Science and Engineering is accepting applications for a Post-Doctoral Fellow in the area of remote sensing and data science. The
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; Four (4) years training in wireless communication / remote sensing; knowledge of Zak-OTFS modulation preferred Experience- Experience with OFDM modulation required Skills- Programming skills in MATLAB
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methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision-making in IoT, wireless communication, and remote sensing systems Collaborate with multidisciplinary
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students, and 100+ undergraduate majors. Research and graduate education in the Department of Earth Sciences focuses on the following subfields: (a) Geophysics: tectonics, seismology, remote sensing, and
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evaluate advanced networked systems that enable new forms of remote care and emergency support services under realistic conditions. You will be mainly in charge of: • Contributing to the design and
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to climate, environment, or sustainability challenges. • Required skills: o Strong quantitative background, with expertise in one or more of the following: statistical modeling, machine learning, remote
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Apply now Job no:503744 Work type:Exempt Staff Full-time Location:Partial Remote, Bethlehem Categories:Postdoc The Departments of Biostatistics and Health Data Science, together with the Department
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of solution platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel accumulation and running physics-based or data-driven
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 12 hours ago
Qualifications The applicant should have a background in astronomy, planetary science, or Earth science, especially including astronomical image analysis from telescope or remote sensing data. Experience with