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paradigms centered on human perception. Finally, the recent rise of foundation models and multimodal artificial intelligence opens up new perspectives at the interface between coding and machine learning
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or Phonetics Basic knowledge of machine learning tools; familiarity with a scripting language Ability to communicate and coordinate with different partners: field linguists, computer scientists, engineers
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critical maritime operation or system Collecting and curating operational and security-related data for AI-based threat analysis Training AI and machine learning models for anomaly and threat detection
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17 Dec 2025 Job Information Organisation/Company Johannes Kepler University Department Institute for Machine Learning Research Field Computer science Researcher Profile Recognised Researcher (R2
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your machine learning expertise to cutting-edge automated optimisation challenges? We are seeking a Research Fellow in Digital Chemistry and Engineering to combine self-optimising flow reactor technology
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Number: 1444 Posting Type: Adjunct Faculty Job Description Summary: Teaching faculty at Guilford Technical Community College are responsible for supporting student success by creating an optimum learning
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with—or a strong motivation to rapidly learn—machine learning techniques, particularly for real-time or large-scale data processing Preferred: Proficiency in Python and familiarity with Rust or other
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
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Communications at Syracuse University is seeking an individual to teach TRF 211 Screenwriting on Tuesdays/Thursdays 12:30-1:50pm during the Spring 2026 semester. (3 credits) Course Description: This course
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow