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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
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on signal acquisition and development of algorithms for wearables and radiofrequency contactless sensors. The contract will be within the framework of the “Advanced Unintrusive Remote health Assessment” (AURA
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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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, telecommunications or related field. Other requirements include Strong background in communication theory, signal processing, and wireless communications, Extensive experience in physical (PHY) layer algorithm design
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experimental activity. Both traditional algorithmic technologies and A.I technologies will be used Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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of historical and real-time data will be processed to improve crop profiles and tailor growth plans. The project includes using advanced algorithms to link various irrigation, nutrient, and telemetry datasets
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growth plans. Supported by correlation algorithms applied to telemetry, irrigation, and nutrient data, it ensures data integrity for both regulatory purposes and the execution of automated decision-making
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for the group of subjects related to the data structures and algorithms at the Department of Theoretical and Applied Foundations of Information Sciences Where to apply E-mail natjecaji@foi.unizg.hr Requirements
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can be found in the subsequent section. For the Fan lab, please visit https://fanlab.bme.umich.edu/. Prof. Fan can be reached by his email at xsfan@umich.edu Who We Are Michigan Engineers are world