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, agent-based modelling, and the use of online experiments is desirable. To be considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process
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operationalizing next-generation LLM solutions that enable ING to streamline core processes, strengthen compliance, and scale agent-based AI systems. The position potentially targets at one of the following three
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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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, as well as understanding how these processes shape the labour market. The research outcome will focus on developing an Agent–Human Sandbox platform, based on standardized scenario simulations and
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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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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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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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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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Compound Screening Platform for the Discovery of Histone- and Nucleosome-Targeting Agents.”, PSP: K/NCN/000477 Program / Project description The research group (Davey lab: https://mcb.uj.edu.pl/en_GB/davey
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deep learning models (e.g., adapting methods in [6]) based on spatial cellular graphs constructed from these images to predict clinical outcomes. The research will be carried out using two