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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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, PyTorch, JAX etc. Experience with modern AI concepts such as large language models (LLMs), vision-language models (VLMs), model context protocol (MCPs), and the development of agentic AI tools. Skill in
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reinforcement learning Experience with high-performance computing, physics-based simulations, and multimodal data workflows Demonstrated ability to train and deploy AI/ML models using simulated and experimental
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the development, calibration, evaluation, and peer-reviewed reporting of several large, complex agent-based models. The selected individual will provide modeling oversight and review of progress on several
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EGAIN web based system to constantly monitor phone volumes, agents for quality assurance on a daily basis. Performs quality assurance checks on calls and provide individual reports for each assigned agent
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candidates who can integrate Agentic AI with systems thinking, agent-based modeling, and system dynamics, thereby linking advanced AI with methods for analyzing, simulating, and designing complex socio
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-informed neural networks (PINNs) for integrating mechanistic constraints into ML frameworks, and creating LLM-based agents to assist with mechanistic model construction and knowledge curation. Track B
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, and CRISPR-based functional genomics like Perturb-seq, with our integrative analyses often employing computational approaches such as agent-based modeling to deconstruct gene-regulatory networks and
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the model plant pathogens Botrytis cinerea and Phytophthora infestans we will investigate their immune reactions and evolutionary responses to experimental selection by biocontrol agents including
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modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics into their models; or2.Computational social scientists with experience in empirical research and/or theoretical