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Field
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Basic qualifications (required at time of application) PhD or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program Additional qualifications (required
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, demand-flexible, and affordable buildings for the DOE Building Technologies Office (BTO), the Federal Energy Management Program (FEMP), and Office of State and Community Energy Program (SCEP). Major Duties
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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-cell and spatial-omics research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic
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-slip and strain accumulation in the Cascadia subduction zone. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of building a slow-slip catalog for
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applications for a Postdoctoral Researcher position. The selected candidate will undertake both collaborative and self-directed research on mathematical modeling, optimization and simulation models/algorithms
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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The College of Engineering and Computer Science at Texas A&M University–Corpus Christi (TAMU-CC) invites applications for a Postdoctoral Research Associate to advance the state of the art in safe, efficient
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High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time-series modeling, and clustering algorithms