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We are seeking a highly motivated Postdoctoral Researcher with expertise in computational biology, deep mutational scanning data, and generative artificial intelligence (AI). The successful
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project, a joint effort with the Solar Energy Conversion group supervised by Alex Martinson, aims to probe fundamental mechanisms for light-driven energy conversion in artificial photosynthesis. In
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seeking a postdoctoral appointee to join our team focused on designing the communication infrastructure for next-generation High-Performance Computing (HPC) and Artificial Intelligence (AI) systems
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addition to collider physics, the position offers opportunities to engage in interdisciplinary research across Argonne, including projects involving artificial intelligence/machine learning (AI/ML) and high-performance
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physics phenomenology. Members in the Particle Theory Group work on physics within and beyond the Standard Model, phenomenology at current and future colliders, as well as emerging areas in Artificial
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multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate