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/ Python and various CFD software to develop fuel cells and engine models for powertrains and propulsion systems within the transportation and energy sectors. Skills Demonstrable ability to work
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Associate must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular
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Agriculture, Precision Nutrition, and Healthy Living—and unites experts from various fields such as agriculture, nutrition, behavioral sciences, social sciences, life sciences, engineering, data and computation
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, presence of organic load). 5. Data analysis and reporting Analyze chemical, physical, and biological data using statistical methods and appropriate software. Generate clear, well-structured reports
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 12 days ago
-borne, and space instruments; however, the hardware, firmware, and software approaches developed have diverse applications including space-based interferometry and advanced radar systems. The successful
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professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division
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will have reinforced and extended their understanding of cutting-edge data transformation, knowledge graph techniques, the research process itself across disciplines, and software engineering techniques
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staff, including students. Other duties as assigned. Required Education/Experience Ph.D. in Computer Science / Computer Engineering / Electrical Engineering. A combination of experience and education may
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office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. The University
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formulate control problems as sequential decision-making tasks; Contribute to scientific publications, software, and reproducible research workflows; Present findings at project meetings, conferences, and