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to develop innovative technologies to improve the efficiency of resource utilization; to minimize our dependence on imported materials; and to enhance our national security. This position is broadly focused
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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, safety, respect, integrity, and teamwork Preferred Skills Hands-on experience with GEANT4-based simulations Experience with detector characterization and validation Familiarity with HEP/NP data processing
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and is based at Argonne National Laboratory (Lemont, Illinois). Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in high energy physics, or a related field Experience
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in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific
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on the development of the SPHEREx Legacy Galaxy Clusters Catalog. The successful candidate will lead analyses to characterize galaxy populations in clusters using SPHEREx data in combination with complementary wide
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employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace
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Argonne employee benefits! As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed
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Recent or soon-to-be-completed PhD (within the last 0-5 years) Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Job Family Postdoctoral Job Profile Postdoctoral
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extreme regional compound flooding within a global Earth system model. The aim is to enable realistic coastal flooding simulations within seasonal-to-decadal simulations and to advance DOE’s capability