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research, the KTP will develop and deliver high-quality, best-in-class training models for a global customer base in safety critical environments. The successful candidate will be employed by the University
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using ML, network-based and agent-based models Integration of histological, clinical and transcriptomic data for precision oncology Translational and innovation-oriented projects linked to clinical
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part of the COP-PILOT project, a solution will be developed to streamline network management and orchestration tasks, incorporating LLMs as a method for implementing the intent-based management paradigm
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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University provides an annual base salary range for this position as USD $18.00 to USD $26.49. Duke University considers factors such as (but not limited to) scope and responsibilities of the position
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and distributed computing environments, and working with large-scale machine learning models. The successful candidate will contribute to the development of agentic systems, working with a team of
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of adult CA1. Computer work Inmed is made up of 11 research teams, 5 platforms, and 3 shared resources, representing a total of 140 people. The agent will be based at the Luminy campus, in the Calanques
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position within a Research Infrastructure? No Offer Description Want to explore how citizen collectives can drive societal change? Join us as a PhD in using AI-powered agent-based modeling to design adaptive
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Posting Details Posting Details Job Title Extension Agent for Agriculture and Natural Resources - Boyle County Requisition Number RE52435 Working Title Department Name 81C03: KCES Region Central
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LLM-based scientific agents. In the project, you will (i) identify potential sources of uncertainties in AI agents, (ii) investigate ways to assess the quality of uncertainty estimates by standard