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ongoing trials on pain pathways, collects and analyzes neurophysiologic and biomechanical data, maintains regulatory compliance, and contributes to a research direction on personalization and optimization
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The Chemical and Fuel Cycle Technologies Division is seeking a Postdoctoral Appointee with expertise in radiochemistry, chemistry, chemical engineering, or a related field to support experimental
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transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering disciplines, enabling the laboratory to explore fundamental science
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further advancing the science and technology of additive manufacturing (AM). CAAAM involves a multi-disciplinary team of researchers from materials science, mechanical engineering, manufacturing, data
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: Postdoctoral Researcher - College of Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 959-Center for Energy
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Posting Details Posting Details Job Title Postdoctoral Scholar Requisition Number DU15074 Department Name 8H007:Biomedical Engineering Work Location Lexington, KY Salary Range $55,000 - $63,000 Type
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
and interface engineering. The successful candidate will play a key role in expanding our MBE capabilities for band-structure engineering, surface passivation, and the fabrication of high-performance
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, optimize, and test advanced materials that will accelerate the deployment of higher performance nuclear energy systems. As part of our research team, you will assess the viability of accelerated irradiation
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objectives. Culture myoblast cells in both 2D and 3D systems, including development and maintenance of engineered myobundles. Evaluate muscle function through contractile force measurements following
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Associate position focusing on control systems engineering, artificial intelligence (AI), and scientific machine learning (SciML) applied to nuclear fusion energy. The successful candidate will join the