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Field
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of and experience in general analytical methods development and good analytical practices Maintains a working knowledge of significant developments and trends in the field SKILLS Outstanding proposal and
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Job Summary/Basic Function: This position is housed within the Applied Magnetics and Photonics Laboratory under the supervision of Dr. Karthik Srinivasan in the Department of Electrical and Computer
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the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and
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thereafter. The position will be available for a two-year period, with possibility of extension. You will be part of a research environment focusing on estimating greenhouse gas (GHG) emissions, reactive
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
on Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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Position Description PART 01 Introduction of the project group Relying on mathematics, quantum computing, computer, microelectronics and other disciplines, Center for Network and Information
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predictive insights that support improved food and feed safety. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) utilize field and laboratory methods in plant
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, computational, and analytical methods. In addition, a broader set of learning objectives are associated with training, experience, and skills associated with research careers in a national lab setting. Stipend
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 19 hours ago
laboratory-based research on-site at NETL in Pittsburgh. At the completion of this appointment, the participant will be adept at stack sampling methods recommended by the Environmental Protection Agency
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learning variety of experimental, computational, and analytical methods. In addition, a broader set of learning objectives are associated with training, experience, and skills associated with research