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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
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Postdoctoral Researcher – Ontology and Knowledge Graph Engineering, you will be contributing to the ongoing development of a general and interoperable modular architecture to build federations of simulation
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GeoTrAnsQData at Utrecht University. The project aims to develop theory as well as novel methodology for transformative geographic question answering based on conceptual transformation graphs, semantic workflows
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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for computational biology and a track record of excellence in graph machine learning and multi-omics data integration? Look no further – an exciting Postdoc opportunity awaits you at the Novo Nordisk
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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, United States of America [map ] Subject Areas: Data Science, AI, Graph Theory, Optimization, Probability Theory Appl Deadline: 2025/07/30 11:59PM Position Description: Apply Position Description UNIVERSITY OF SOUTH CAROLINA
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analysis of data. Prepares appropriate and understandable representations of data such as graphs, charts, tables, statistical summaries, etc. Contributes to the preparation of scientific manuscripts by