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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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-billion atom MD simulations. Proficiency with data visualization tools. Understanding of force fields and interatomic potentials for ferroelectric and related materials. Atomistic and/or first principles
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. The Macroeconomist will utilize advanced techniques including partial equilibrium or CGE modeling of trade flows for scenario analyses, and GIS (Geographic Information System) capabilities to map and visualize
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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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. Familiarity with techno-economic analysis. Experience with scientific programming languages (e.g., R, Python, Java) and statistical software (e.g., Stata). Ability to create visualizations to effectively
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-micron resolution of entire organs demands optimized data pipelines and methods to handle and visualize the resulting datasets. Additionally, beamline hardware must be optimized to ensure the highest data
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learning to engineering problems. Experience developing software packages, tools, and data sets for public use. Ability to synthesize effective data visualizations to communicate results from complex data
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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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focus will be on exploring the utility of artificial intelligence models in the study of the above, studying quantum mechanical generalizations, and uncovering connections to statistical models. Position
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. P. Chen et al ., Optics-on-a-chip for ultrafast manipulation of 350-MHz hard X-ray pulses, Optics Express, 29, 13624 (2021). https://doi.org/10.1364/OE.411023 (Featured in a weekly News Release by