48 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Texas A&M University in United States
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. Responsibilities Data Analysis Performs hypothesis-driven computational research with a clear understanding and use of controls. Uses computational methods to analyze large-scale sequencing data and formulate
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areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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, Neuroscience, or a related field. Strong publication record, including first-author papers utilizing fMRI. Proficiency with fMRI methods. Experience with eye tracking. Strong programming skills. Research
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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to policy issues and application of appropriate research methods. Experience with analyzing data, especially dealing with trade, global supply chains, or labor markets. Ability to professionally and clearly
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to policy issues and apply appropriate research methods effectively. Experience analyzing data, especially dealing with energy supply, demand, transmissions, or data centers. Knowledge, Skills, and Abilities
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plants). The associate will develop rigorous, scalable methods—spanning physics-based and data-driven models—for optimal power flow, demand response of flexible loads, transient/stability-aware dispatch
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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biologists on two projects that will be aiming for new methods for measuring protein and lipid composition of individual exosomes as well as detection of rare nanoscale defects in high-performance materials