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successful candidate will conduct research focused on meso- and macroscale mathematical modeling of next-generation batteries, while leveraging advanced artificial intelligence (AI) tools to accelerate
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Requisition Id 16540 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory and artificial intelligence
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is found. The successful candidate will develop and apply computational approaches to biochemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus. Many of
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Postdoctoral Fellowship represents a unique opportunity to advance surgical care through innovative applications of data science and artificial intelligence. This interdisciplinary fellowship is designed
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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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University is seeking a highly motivated researcher to develop and apply cutting-edge artificial intelligence approaches for conservation genomics. The successful candidate will lead the development of novel
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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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liquid and solid-state electrolytes using artificial intelligence, under the guidance of a supervisor. The successful candidate will contribute to projects involving the synthesis, physical and chemical
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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