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the performance and scalability of large-scale molecular dynamics simulations (e.g. LAMMPS) using machine-learned potentials (e.g. MACE) through algorithmic improvements, code parallelization, performance analysis
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water electrolyzers, utilizing high-throughput synthesis and characterization techniques. As a Postdoctoral Appointee, you will play a pivotal role in this exciting endeavor. Your responsibilities will
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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
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cases. This position is focused on advancing the capabilities of LLMs to address complex problems within specific scientific domains, with an emphasis on climate risk assessment and analysis. As part of a
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We invite applications for a postdoctoral position in the Separations and Bioprocessing Group in the Applied Materials Division at Argonne National Laboratory. In this role, the postdoctoral
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The Advanced Grid Modeling group at Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis is seeking a dedicated Postdoctoral Researcher. This role is ideal
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quantum information. The scalable design, synthesis, and control of materials capable of hosting quantum states, such as silicon carbide and diamond, play an integral role in solid state platforms
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are modified at the near field and how such a new system can enable optically addressable atomic memory with ultrahigh storage density. The successful candidate will be part of a highly collaborative research
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for holotomography and to perform dynamic experiments using the Projection X-ray Microscope (PXM) instrument for studying microelectronics. As part of a collaborative team, the successful candidate will participate in
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engines. The candidate will be a part of the Transportation and Power Systems Division within the Advanced Energy Technologies Directorate at Argonne. The successful candidate’s research will involve