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extracting topics (topic modeling within the context of the clean energy transition), opinions, and social networks over time from documents (e.g., newspaper articles) using machine learning (ML) methodologies
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related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
of radiance data from new hyperspectral infrared instruments such as IASI-NG, MTG-IRS Enhancement of CrIS radiance assimilation algorithm are highly encouraged. - Use machine learning methods to cope with model
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lecturers for the Fall 2025, Winter 2026, Spring 2026, and/or Summer 2026 semesters to teach biology courses. Instructors will present course material during the assigned times, hold office hours, administer
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material for topics related to experiential learning and professional development; Ensures/follows the student’s internship includes learning objectives, observation, reflection, evaluation and assessment
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trustworthiness of mathematical models and machine learning tools (e.g., neural networks) in a meaningful way, we need innovative, scalable methodologies that efficiently and accurately capture, represent, and
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. Into the second year, the project moves toward methodology refinement and Machine Learning integration. The student will execute a more ambitious cycle with a complex alloy system and integrate machine learning
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, networks and communication systems, theory of computation, computing paradigms, AI and machine learning, numerical computing, and applied computing. In particular, beyond surveying individual fields and
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interest in the total affairs of the college. Under general supervision, this individual will develop, prepare, and teach general computer technology courses in support of general education requirements
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microstructures along the entire process chain using machine‑learning (ML) techniques and validate soft‑sensor outputs against laboratory reference measurements Perform systematic laboratory flotation experiments