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dynamics in models Present results at scientific meetings and prepare manuscripts for peer-reviewed publications Travel to the field site in North Dakota on occasion and when needed For more details on the
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to solve challenging problems in the microelectronics area. Note: Synthesis of bulk materials, first-principles simulations/modeling, and organic or bio-related areas are not in consideration
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(electrochemistry, materials synthesis, or characterization) or computational simulations perspective, is required. Proficiency in Python programming is required. Familiarity with REST APIs is desirable. Master’s
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requires not only expertise in LLMs and machine learning but also an understanding of the unique challenges posed by scientific data, which often includes large-scale numerical datasets, complex simulations
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decarbonization applications. With guidance, the appointee will: Develop advanced multiscale, multiphysics simulation tools applicable to the modeling of chemical processes and equipment relevant to chemical
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, Physics, or Chemistry. Knowledge of experimental fluid dynamics. Knowledge of mechanical engineering concepts and procedures. Computer and programming skills, including data processing and manipulation
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. The postdoctoral appointee will join a dynamic, multidisciplinary, and multi-institutional team. The postdoctoral appointee is expected to aid in the design, analysis, and interpretation of experiments as
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and apply biogeochemistry and synchrotron-based techniques to study dynamics of biogeochemical mechanisms within coastal systems. Develop and apply microcosm-based approaches in the laboratory to test
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pipelines and methods for neuroimaging. The successful candidate will join a dynamic team of scientists conducting a wide range of research with state-of-the-art tools. The IMG operates three beamlines
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analysis of transmission systems (steady state and dynamics). Mostly using PSS/E python interface. Develop, implement and validate state and output feedback control. Additionally, candidates will: Give