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candidates with a strong theoretical background in one or more subfields including topological materials, strongly correlated quantum systems, quantum dynamics, and quantum information theory. A particular
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are for two years, with the possibility of one additional year contingent upon funding and performance. Applications received by 29 November 2024 will receive our fullest consideration. The Theory Group has
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deposition (ALD). The project involves performing quantum mechanical calculations (e.g., first principles density functional theory (DFT)) to identify the structures and to understand the complex mechanisms
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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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quantum mechanical calculations (e.g., first principles density functional theory (DFT)) to identify the structures and to understand the complex mechanisms of molecular reactions occurring at the surface
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The Chemical Sciences and Engineering Division at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct innovative research focused on the synthesis, recycling, and performance
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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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candidate will work on cutting-edge research integrating genome-scale language models (GenSLMs) with deep mutational scanning data, and experimental virology to predict viral evolution and identify emerging
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The Nuclear Technologies and National Security Directorate (NTNS) is seeking a highly qualified and motivated Postdoctoral Researcher specializing in energy economics. This role is pivotal in
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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