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Field
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Experience with computational or simulation modeling methods Experience with complex survey data analytic methods Familiarity with tobacco control and/or cannabis control and/or alcohol control. Strong
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 10 hours ago
be given the opportunity to copy over what they had previously submitted. All documents must be in English or include an official English translation. If you have questions before, during, or after you
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or micromagnetic simulation (e.g., Vampire, OOMMF, MuMax3); extraction of compact device models from first-principles results. Experiment End-to-end device fabrication: e-beam lithography, metallization, lift-off
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materials, organic solids, molecular materials, or other solid-state systems. Experience with computational approaches relevant to structural characterization, including density functional theory (DFT
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Title: Postdoctoral Research Asspociate - Dr. Yanxiao Han's Computational Biological Laboratory Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT
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laboratory, simulation, or field-based experiments Experience developing software using Python, MATLAB, C/C++, ROS, simulation environments, or other scientific computing tools applicable to autonomous systems
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addition, they contribute to medical education and training for more than 260 students, and more than 300 physician residents and fellows annually. UICOMP healthcare partners include Jump Simulation, a world
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Responsibilities The incoming postdoctoral researcher will lead or contribute to key research activities within the LU-PCG, advancing control theory, machine learning algorithms, and integrated simulation workflows