987 engineering-computation "https:" "https:" "https:" "https:" research jobs in United States
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setting The New York Times has called ?the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest
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%). This position is not eligible for H-1B visa sponsorship. Qualifications *Required qualifications include: -Ph.D. in Mechanical Engineering, or a closely related field -Mathematical and computational experience in
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The New York Times has called ?the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative
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bioinformatics capacity Qualifications All required qualifications must be documented on application materials. Required Qualifications: • Doctorate in the life sciences, computer science, or engineering, or
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Department School of Medicine, Department of Surgery Job Description A Postdoctoral Associate position is available in the Department of Surgery, University of Missouri-Columbia. The research program examines
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science, or engineering. Important Dates Please submit all application materials to https://apply.interfolio.com/175206 by March 1, 2026, 11:59 pm. Funding can begin as early as May 2026. Terms The Postdoctoral Fellowship
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systems/fabrication Biomedical computation/modeling Biomolecular and cellular engineering Biomaterials Tissue/regenerative engineering Neuroengineering Systems biology Cardiovascular engineering These
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graduate students, with over 1,000 full-time instructional faculty. JMU offers thriving programs in the liberal arts, science and technology, and professional disciplines at the undergraduate, master’s and
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or Bio Engineering or related area is required. We are interested in candidates who have an interest in: *Advanced Manufacturing and Integration of Scalable Structures*Soft and Living Materials *Natural
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his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop