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Field
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to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses, drugs, antibodies, human lymph system, seconds, days, years). This project
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experienced AI Engineer to contribute to the development and implementation of Large Language Model (LLM)-based agents within multi-agent systems for B2B decision optimization. This project aims to explore how
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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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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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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics
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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics
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performance of molecular dynamics studies on molecular diffusion models in membranes. The research is oriented towards the study of the physicochemical behavior of new systems based on paramagnetic ions with
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, an agent-based physiological 3D model of mitochondria based on the seminal work of Prof. Skupin (https://www.nature.com/articles/s41598-019-54159-1 ) will be extended and embedded into a continuous
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deployment of agentic large language models. We aim to create interactive virtual avatars, driven by LLMs, for use in real-world healthcare and educational environments. These avatars will combine natural
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modeling. It aims to design a modular and reusable architecture for the rapid prototyping of twin games using the Cormas agent-based modeling platform. The project will rely on Cormas, implemented in Pharo—a