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four (4) years of post-degree experience in computational systems modeling, simulation, and analytics. Experience with agent-based, biophysical modeling, or multi-scale modeling; OR Experience with
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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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, 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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data analysis and grant preparation • Experience with agent-based models, statistical methods, artificial intelligence, process modeling, and data visualization • Experience working in teams with people
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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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-degree experience in computational systems modeling, simulation, and analytics. Experience with agent-based, biophysical modeling, or multi-scale modeling; OR Experience with analyzing multi-omics data
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learning with knowledge-based inference, validated by independent experiments and partially supervised by human-in-the-loop systems. A key question will be how agentic AI and foundation models can be
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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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, Associate, or Full Professor whose research and teaching advance core AI and ML theory, foundation models and generative AI, reinforcement learning and autonomous agents, hardware and systems for AI, edge and
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research (85%) and education/training (15%). The research component will focus on the development and validation of CAR T cell–based therapies designed to eradicate minimal residual disease and treatment