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Field
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interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions
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, in particular the semantic integration of the "Preliminary Engine Architecture" tool and the GTlab framework for Large Language Models (LLMs), as well as multi-agent architectures for the automated
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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23 Sep 2026 Job Information Organisation/Company University of Gothenburg Department Department of Philosophy, Linguistics and Theory of Science Research Field Language sciences » Linguistics
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The Chinese Uniform Meaning Representation (UMR) Annotator will support the development of high-quality semantic resources by collecting and preparing Chinese text data, performing detailed UMR
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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the following. Other duties may be assigned. 1. Research, develop, validate, and deploy AI models, algorithms, and data pipelines for processing large-scale structured and unstructured datasets, leveraging
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language