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About the Opportunity POSITION SUMMARY You will develop, implement, and validate AI scoring systems that evaluate student transcripts using research-validated rubrics. This role combines natural
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward
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to Search Photogrammetry Developer, Lunar and Planetary Laboratory (Extended Temporary) Posting Number req25630 Department Lunar and Planetary Laboratory Department Website Link https://lpl.arizona.edu
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developing light curve detrending and transit search algorithms. For each of these areas, we anticipate opportunities to work with current data and to obtain new observations of transiting exoplanets with
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project focuses on the development of advanced models and algorithms
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The Associate in Research will be responsible for using and developing computational algorithms to analyze single-cell and spatial-omics datasets. Specifically, we have multiple projects where we are generating
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projects; knowledge of the English language. III. Work Plan: …………………………………………………………………………………………………………………. Work Plan PT1 — Development and prototyping of visitor monitoring stations • Design and assembly
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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work
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constraints in local energy market simulations. The developed methods shall then be evaluated in suitable scenarios with respect to selected technical, economic, and system-related indicators. This leads in
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, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation