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with agent-based models, statistical methods, artificial intelligence, process modeling, and data visualization Experience working in teams with people from various socioeconomic, cultural, and
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support in developing grant applications and teaching resources. For more information about LIACS, see http://www.cs.leiden.edu What you bring PhD degree in Computer Science or a similar field; An academic
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Commander . Preferred Record of scholarly publications and experience supporting research projects, including data analysis and grant preparation Experience with agent-based models, statistical methods
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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
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on this project and details of how to apply to it please visit https://centa.ac.uk/studentship/2026-b14-primates-as-agents-of-dispersal-gastrointestinal-food-transit-time-and-its-downstream-effects-on-ecosystem
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with the research themes and goals of the NTO. To apply: https://academicjobsonline.org/ajo/jobs/31443 Files to submit: Applicant’s CV Applicant’s transcript showing proof of PhD; or intended completion
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-behavioral biases are most critical in facilitating climate risks to become systemic. This data collection and analysis work will benefit from the computational agent-based and macroeconomic modeling (carried
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-tracking, behavioural data). Your team You will collaborate with several GRS colleagues who have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent and non-permanent), with 3 tutelles, hosted by the CNRS and in total ZRR