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are evaluated in controlled settings and do not fully capture the realities of large-scale ecological applications. This PhD project will investigate Long-Tailed Open-Ended Semantic Segmentation (LTOESS), a
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At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
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to support expansion of digital humanities projects and of the UCLA Initiative in AI and Extremism. Data Analysis and Programming (40%) ● Use Python-based tools and workflows to design, build, and manage large
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-specific data which will present different semantics and connotations, hence leading to challenging customer-specific data augmentation /rehydration (PS2) and data mining processes (PS4). To handle
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the following fields: Large Language Model-based application development. Knowledge Graph Development for Sensor Data. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial
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one-fits-all model was proven unsuccessful. Large Language Models (LLMs) and knowledge graph models are expected to harmonize the formats and semantics but there are many open questions about their
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the integration of large-scale biomedical data sources—such as radiology and pathology imaging, genomics, and electronic health records (EHR)—into Stanford’s clinical data warehouse. The Sr. Software Developer will
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interactive dashboards for large-scale genomics data. Software Engineering Best Practices: Version control (Git/GitHub), code review, issue tracking, semantic versioning, packaging (setuptools/Poetry
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for information discovery and access including large language models, NLP, embeddings, vector/semantic search, RAG pipelines, knowledge graphs, and recommender systems. • Familiarity with traditional information
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/304376 Posting Contact Information Department Contact Name and Title Misty Parrish Human Resources Specialist Department