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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
the formulation and implementation cost associated with spacecraft booms, an appealing alternative approach is the placement of numerous small sensors to perform gradiometry, map and cancel self-induced magnetic
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values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft
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review Characterizing and correcting for observer-, sensor-, and habitat-specific sources of detection bias The incumbent will have access to multiple datasets, including passive acoustic recordings from
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that really make a difference. For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc - in vivo optoelectronics application and verification Mission The LSBI is a
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most innovative employers in the region. With more than 6 000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back
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: collaborate with leading academic and industrial partners; work with state-of-the-art agricultural robots, advanced sensors, and AI systems; have access to industrial-scale glasshouse facilities and research
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most innovative employers in the region. With more than 6 000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back
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make a difference in the world! Position Information A postdoctoral research associate will join the ‘Arid Hydrology and Water Systems’ research group at the Texas A&M AgriLife Research Center at El Paso
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, you will: Contribute to defining metrics and indicators across spatial (schoolyard, street, neighborhood, city) and temporal (daily, weekly, seasonal) scales, combining sensor-based data with human