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of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
Energy, Transport and Aerospace, funded by the Foundation for Science and Technology (FCT). It focuses on Scientific Artificial Intelligence, optimization, and computational modeling in engineering, aiming
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Researcher and Postdoctoral Researcher Positions in Computational Methods for Civil and Environmental Engineering in the field of data-driven and model-driven simulation methods for atmospheric flows, ocean
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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3D mesoscale materials modeling. Position Details: Location: Ann Arbor, Michigan, U.S. Department: Mechanical Engineering, University of Michigan Start date: Flexible; preferred start date of September
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image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation while remaining robust to noise
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framework for immersive 3D virtual environments, such as Roblox and Minecraft. The engineer will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal
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-driven surrogate models for real-time reconstruction and forward simulations. Create numerical algorithms for physics reconstruction using sparse data. Implement assimilation pipelines which integrate
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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and a passion for investigating the role of the tumor microenvironment, in particular CAF-driven epithelial plasticity, using advanced experimental models. The primary research focus will be to define