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Matter 2022, 10.1021/acsanm.2c03406) we have developed a chemical assay coupled with a machine learning algorithm to measure the impact of wood-aging on a range of foodstuffs. The project involves
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to generate baseline datasets for calibrating and validating predictive models of biodiversity-rich forests. Using machine learning (ML) algorithms, the Research Assistant will help predict the occurrence
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project is guaranteed to be feasible and with high impact, guided by a supervisory team with an extensive A+ publication record in algorithms and graph mining. Where to apply Website https://pica.cineca.it
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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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 42 minutes 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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Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility
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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation
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Engineer with strong experience in learning-based control and mobile manipulation. The successful candidate will work on algorithm development for contact-rich robotic manipulation, integrating perception
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days ago
will develop computer vision, machine learning and control algorithms for a robot to perform packaging tasks. Human demonstrations will be used to generate data for learning. These data will encompass
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of science data from the IXPE mission (including algorithms, development of simulation and analysis tools, and interpretation of the results), particularly for the study of extended X-ray sources (supernova