319 coding "https:" "https:" "https:" "https:" "https:" Postdoctoral positions in United States
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0343-NPP-NOV26-JPL-PlanetSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Our laboratory seeks a scientist with a recent Ph.D. in biochemistry and/or molecular
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possible. For further details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding
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possible. For further details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding
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programming/coding skills (e.g. Matlab, Python), and are quality scientific writers. Funding is available for up to two years, with renewal for year two based upon performance in year one. This position is part
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Research Associate, Department of Geosciences Posting Number req26900 Department Geosciences Department Website Link https://geo.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights
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or Psychology Established publication record in human cognitive neuroscience Experience with fMRI data collection and up-to-date analysis methods Coding experience (ideally Python) Ability to carry out a variety
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modulation, coding, synchronization, spectral shaping, equalization, and related receiver/transceiver components in simulation and on SDR platforms. AI for communications implementation: implement and
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of existing codes, standards, and policies related to building decarbonization, including econometric analyses of economic impacts. (5) Conduct analyses of utility rates and rate impacts on households and other
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network optimization for 6G/FutureG wireless networks especially on the Internet of Intelligent Things under the supervision of Dr. Lingjia Liu (https://lingjialiu.ece.vt.edu). Successful candidates will