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Laia Mayol (Associate Professor, UPF). Their area of specialisation will be formal semantics and pragmatics, and they will seek to develop skills in experimental methods. The PhD contract is fully funded
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to model long-range dependencies for spatial-temporal 4D semantic reconstruction of videos with multiple interacting people. A novel uncertainty-aware diffusion probabilistic model will learn temporally
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Language Semantics. This is a unique opportunity to contribute to the foundations for tomorrow’s machine learning. Your job The FoRECAST project aims to develop theory (e.g., categorical semantics and
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Aalborg University contributes to the knowledge building of the global society as well as the development of prosperity, welfare and culture of Danish society. This is accomplished through research, research-based education, public sector services and knowledge collaboration. AAU educates...
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12.10.2021, Wissenschaftliches Personal The TUM Professorship for Data Science in Earth Obervation is seeking a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding
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LOOKING FOR We are looking to fill a Researcher II position (roughly equivalent to a postdoc) in semantics at the Department of Czech Language. The successful candidate will work within a research project
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explainable” machine-aided decision support for Safety and Mission Critical objectives e.g. fault detection/tracing, evasive manoeuvring, target selection etc. Detailed semantic understanding of operational
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approach is to apply foundational techniques grounded in logic, semantics, and verification. This work takes place within the CYCLIC project: Cyclic Structures in Programs and Proofs, a collaboration among
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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the French Agence Nationale de la Recherche. This project aims to advance metabolomics research by applying semantic web technologies to build knowledge graphs integrating and enriching massive