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new findings about the labor market. 2. Advanced computational work involving coding heterogeneous agent models and conducting estimation of key model parameters to match themoments in the data and test
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latency constraints. - Federated and distributed learning for RAN hardware infrastructure management. o Knowledge of autonomous AI systems based on agents. Indicative skills/experience: - Multi-Agent
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volatile geopolitics. Shortages, trade frictions, and financial mismatches can stall otherwise viable tipping dynamics and establish carbon-intensive lock-ins. This PhD will develop an agent-based inspired
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research projects. Developing innovative methodologies for analyzing massive datasets in both cloud-based and on-premises environments, including experience in building agentic AI tools that integrate
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position within a Research Infrastructure? No Offer Description Laboratory of Molecular and Cellular Neurobiology https://shorturl.at/mLd8y at the International Institute for Molecular and Cell Biology
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institutions, including Politecnico di Torino, to advance scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
, and Experience - PhD in Computer Science, Computing, Statistics or Data Science, or related disciplines - Demonstrated hands-on experience training, fine-tuning, or adapting LLMs / generative AI models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
, and Experience - PhD in Computer Science, Computing, Statistics or Data Science, or related disciplines - Demonstrated hands-on experience training, fine-tuning, or adapting LLMs / generative AI models
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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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MRC DiMeN Doctoral Training Partnership: Next-Generation Wound Dressings to Defeat Superbugs: Disrupting Virulence to Combat AMR MRC DiMeN Doctoral Training Partnership PhD Research Project