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, and improve agent efficiency. Contributes to the development and maintenance of knowledge articles, job aids, and training content based on recurring Tier 2 issues. Reporting & Continuous Improvement
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data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by delivering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle
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areas of the brain. Treatment is based on rapid delivery of the thrombolytic agent (t-PA), but the delivery of the drug is limited by the obstruction of the vessels. In this project, the post-doctoral
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: The selected candidate will work within the scope of Activity 1 of the project, specifically on the personalization of AI assistants based on small generative language models (SLM) and on mechanisms
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intensive multi-cellular agent based models (ABMs) of Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists
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: Apply Position Description Postdoctoral Associate – National Tutoring Observatory Cornell University Description The National Tutoring Observatory (NTO) is based in Cornell’s Ann S. Bowers College
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. This should include a description of a deep learning project that you have executed, ideally a creative use of a transformer-based or related architecture that you trained yourself. If it is in the sequence
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, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML deployment