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capabilities, but they still face critical limitations in reasoning, explainability, robustness, and domain adaptation. This project explores integrations of modern LMs with ontologies and knowledge graphs
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, AAAI). Demonstrated expertise in at least two of the following areas: semantic parsing or structured NLP knowledge representation, reasoning graphs, or GNNs natural language generation, explainability
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 23 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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Location ESOC, Darmstadt, Germany Our team and mission The Operations Definition and Engineering Team is an expert team responsible for providing Ground Segment and Operations (GS&O) support
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for publishing. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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and collaboration, we explore the Universe, the Earth and the complex systems linking environment, energy and society – enabling knowledge-based solutions for a sustainable future. At the Division
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for publication. These efforts contribute to the advancement of scientific knowledge and enhance the institution’s academic reputation CORE JOB FUNCTIONS · Conducts research in designated areas, including
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or Ph.D. in relevant field Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
these responses are mediated by biodiversity and management across regional to global scales. The successful applicant will integrate ground-based observations (e.g., eddy covariance measurements, forest