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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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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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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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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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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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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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archaeological sediments, with advanced climate and agent-based modelling (ABM). The project focuses on key archaeological cave sites in North and South Africa to reconstruct site-specific vegetation and
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Apply now Post-doctoral Researcher and Project Manager: Agent-Based modeling of the first hominin migrations into western Eurasia The Department of Archaeological Sciences, Faculty of Archaeology
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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects
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the assessment of an impact dimension, which could be used as a model for impact assessment as a more general method of ethics for SDTs. This contributes to Objective 3 (New approaches for ethical assessment and