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Postdoctoral Position in Representation Theory Position (Ref.: 537516) Position Applications are invited for the appointment as a Post-doctoral Fellow in the Department of Mathematics. The positions are awarded
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Fellow Department of Mathematics The University of Hong Kong Postdoctoral Position in Representation Theory Position (Ref.: 537516) Position Applications are invited for the appointment as a Post-doctoral
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part of change Development of novel image and video representations Research on alignment between different visual representations, e.g. foundation models Research on properties of learned visual
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Internal Number: 7337447 Postdoc Employee-The Building Blocks of Cognition Laboratory - Psychology Position overview Salary range: The UC postdoc salary scales set the minimum pay determined by experience
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the field of Automated Reasoning for Quantum Knowledge. Position You will assist in ongoing research projects in classical representation and reasoning of quantum knowledge You will help coordinate project
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
translated into formal knowledge representations. These form the basis for the development and integration of semantic models into ontologies and knowledge graphs as a semantic layer of federated data
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, distillation from LLMs, acceleration such as KV caching, data synthesis, utilization of external knowledge, multimodal integration, and architecture improvement. We aim for advanced research outcomes
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future. This post-doctoral position will investigate the use of knowledge graphs on automatically extracted metadata at a cross-disciplinary global scale. Using LLMs and traditional data engineering
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SPECIFICS The Cognition, Affect, and Temperament Laboratory at The Pennsylvania State University, headed by Dr. Koraly Pérez-Edgar, seeks a Postdoctoral Scholar (http://www.catlabpsu.com ). Ideal start date
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
representations without relying exclusively on manual feature engineering. Benchmarks such as RelBench have made this research direction more concrete by providing realistic relational datasets and prediction tasks