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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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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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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