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ultimately shifts in species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species
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/Website: [email protected] https://medicine.yale.edu/lab/manuelidis/ (Link is external) Introduction of School/Department: The Yale School of Medicine’s mission is to cultivate collaborative
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-Doctoral Research Assistant in Multi-agent Agentic AI systems School of Computer Sci. & Digital Tech. Location: Aston University Main Campus Salary: £38,784 to £41,064 per annum Grade: Grade 08
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already available on GPAP. Alongside this project, you will also contribute to LLM post-training and agent development for pathogen analysis, working closely with Dr Harrison Bo Hua Zhu, Professor
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computational tasks: You oversee dozens of computational biology tasks across biological disciplines You launch agent swarms solving these tasks and monitor their progress You communicate with task experts to
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demonstrated expertise in perception-driven autonomy, multi-agent coordination, and real-world deployment of autonomous and distributed robotic systems. The position is approved for funding for 2 years
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for extension. We are looking for someone to join our team of consumer behaviour scientists and agent-based modellers who can bring knowledge of and experience with modelling cognitive or behavioural
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computational tasks: You oversee dozens of computational biology tasks across biological disciplinesYou launch agent swarms solving these tasks and monitor their progressYou communicate with task experts to
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Postdoctoral Research Associate, Adaptive Learning Agents and Computational Cognitive Science Posting Number req27365 Department Psychology Department Website Link https://psychology.arizona.edu/ Location
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 26 days ago
, focusing on multimodal foundation models and multi-agent systems. The position will involve conducting independent and collaborative research, developing and evaluating multimodal AI models, and