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on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab. Since its founding in 2002, Berkeley Lab's Luis W. Alvarez
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 7 days ago
, ion trap based computers have a high degree of controllability and are only weakly susceptible to noise, yet with only tens of qubits they are comparatively small. Superconducting technologies have
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the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab. Since its founding in 2002
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Posting Title Postdoctoral Researcher: Bulk Power Systems Multi-timescale Operation, Modeling and Simulation . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working
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Computing Institute at the University of Utah was founded in 2000 to solve important problems for humankind by performing cutting-edge collaborative scientific computing, image analysis and visualization
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U.S. Great Plains region, as evidenced by application material. Previous experience with coupling interdisciplinary models and/or high-performance computing, as evidenced by application material
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Responsible for conducting and supporting related experiments Responsible for performing in vivo studies (design and execution) and subsequent data analyses Responsible for working with other postdocs and
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environments (i.e., indoor farming, greenhouse, and high tunnel settings). Our goal is to find sustainable solutions to pest problems in controlled environments. The postdoctoral associate will perform
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Internal Number: 6513057 Postdoctoral Scholar - Fermentation Science - California Institute for Quantitative Biosciences (QB3 Berkeley) Position overview Position title: Postdoc Employee Salary range: The UC
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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning