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Large Language Models (LLMs), Agentic Systems, as well as strong interdisciplinary teamwork skills and communication skills. About the Stanford NLP Group: Stanford NLP Group focuses on basic scientific
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supervision of PI Calina Copos and will engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based
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ecological systems with frequency-dependent selection. Planned projects use dynamical systems, stochastic differential equations and agent-based models, statistical methods for parameter inference, network and
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for this position will aim to characterize pharmacokinetics, pharmacodynamics or the relationship between both (PK/PD) of small and large molecule anti-cancer agents using statistical modeling approaches to enable
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application of spatial microsimulation and agent-based models in relation to the Horizon Europe project MOBI-TWIN ( https://mobi-twin-project.eu ). ????-TWIN is a Horizon Europe project that investigates
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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
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Your Job: ...to revolutionize applications of the physical sciences through tailored large language models (LLMs) and intelligent agentic systems. Your tasks in detail: Development and fine-tuning
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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and Research Ireland. Urban Sense is modelling and measuring greenhouse gas (GHG) emissions across Dublin. The focus of this position is developing an agent-based model (ABM) to capture the statistical
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, or mental health provision are expected to be higher or lower. The agent based modelling will form an innovation where we attempt to create business models and descriptions of best practices for social