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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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modeling, and AI experts, as part of the international project M2 LInES (https://m2lines.github.io) . You can read about some of our recent work here: Dheeshjith et al. 2025 , Duncan et al. 2025 , Pedersen
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research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io
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learning, memory, and/or decision-making - Experience and/or interest in conducting developmental research - Experience with computational modeling approaches - Experience acquiring, analyzing, and
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, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents
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mitochondrial quality leads to neurodegenerative diseases and impairs neuronal recovery. To approach these questions we use a combination of genetics, biochemistry, cell biology and imaging in a number of models
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sorghum, using new whole genome CRISPR screening techniques that the lab has developed. The project is in close collaboration with computational approaches that model the genes and circuits that make cells
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candidate will contribute to cutting-edge research on the modeling, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless
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complex designs, and conducting big data analyses using advanced statistical models. Experience in the use of various datasets, e.g., TOPMed, UK Biobank, All of Us, and/or digital health data, is also