857 engineering-computation-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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/Administrative Internal Number: 495408 Department: Computer Science Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of
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Posting Title Postdoctoral Researcher – Enzyme engineering / Chemoenzymatic synthesis . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NREL The National
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engineering principles Experience working safely with hazardous materials using engineering controls such as gloveboxes is desired. Knowledge of the use of computers to design and control experiments and to
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after the review date will only be considered if the position has not yet been filled. Position description The Mechanical Engineering Heat Transfer Lab is looking for two qualified postdoctoral
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, Electrical Engineering, Materials Science, or a related discipline within the past five years; You have demonstrated experience in superconducting devices and/or quantum information science, evidenced through
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are seeking applications from individuals with a PhD in any one area of engineering such as: aerospace, chemical, civil and environmental, computer science and software, electrical and computer, industrial and
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for a highly motivated postdoctoral research fellow who is equally adept at applying wet lab-based experimental approaches and high-dimensional computational analyses to study disseminated tumor cell