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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and
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discoveries in protein function, ligand binding, and dynamics through scalable computational analysis. The ideal candidate would have a background and an interest in Computational Biology, Artificial
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enable new discoveries in life sciences and bio-technology relying on structural biology methods. The ideal candidate would have a background and an interest in Biophysics, Biochemistry, Artificial
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The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications
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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems
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-generation, data-driven manufacturing systems that integrate artificial intelligence, real-time sensing, and digital twins to transform how critical components are designed, produced, and qualified
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at the intersection of learning sciences and artificial intelligence, with particular focus on large language models (LLMs), generative AI (GenAI), and assistive AI as tools and partners in learning, identity
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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develop and apply cutting-edge artificial intelligence approaches for conservation genomics. The successful candidate will lead the development of novel AI frameworks that: (i) integrate thousands of genome