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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
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researcher with a PhD in Computational Social Science, Sociology, Machine Learning, or a similar applicable profile. Proven expertise in statistical and/or agent-based network modeling is preferred. Ability
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sciences, economics and regulation. Job description The project of the PhD student based at CWI in Amsterdam will focus on techno-economic models (and in particular multi-agent modeling) of energy exchange
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qualification (usually PhD). Research area: Systems of interacting particles are ubiquitous in natural and social sciences. Typically, they comprise many agents that, through intra-specific and inter-specific
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developmental signaling pathways (Notch, Hippo) support tumorigenesis and might reveal novel therapeutic vulnerabilities. Every project incorporates the evaluation of novel pharmacologic agents to shepherd
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of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic Environments within the general
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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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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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 29 days ago
) Positions PhD Positions Country Portugal Application Deadline 7 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract To be defined Job Status Full-time Hours Per Week 35 Offer Starting Date 23 Dec 2025 Is the
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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