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following chemical engineering principles, considering both plant economics and emission reduction (relative to incumbent industrial process). The candidate will extract energy and emissions data associated
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. Work with T&D software (e.g., OpenDSS, PSS/E) to gather data, run simulations, and assess grid-wide impacts. Additionally, candidates will: Collaborate with multidisciplinary teams to develop innovative
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Leadership Computing Facility (ALCF), the Mathematics and Computer Science Division (MCS), the Computational Science Division (CPS), and the Data Science and Learning Division (DSL). The postdoctoral
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The Nuclear Science and Engineering (NSE) Division is seeking a postdoctoral appointee to develop computational methods and computer codes to model the physics and engineering of advanced nuclear
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, Physics, or Chemistry. Knowledge of experimental fluid dynamics. Knowledge of mechanical engineering concepts and procedures. Computer and programming skills, including data processing and manipulation
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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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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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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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data analysis implemented in languages such as python or Matlab Desirable: Experience with dilution refrigerators and closed-cycle cryogenic systems. Experience with microwave engineering and various
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, synthesize, and process information to develop high-quality datasets and derive empirically driven results; work with other team members to develop and apply cutting-edge methodologies to address critical