853 engineering-computation-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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The Research Program in Development Economics (RPDE) at Princeton University's School of Public and International Affairs invites applications for two Postdoctoral Research Associate positions
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policies and procedures and safeguards University assets. Department Specific Functions The candidate should be interested in clinical and rehabilitation engineering research focused on developing and
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education faculty member in CBE, and Professor Alexandra Coso Strong, a tenured engineering education faculty member in CBE and the Systems Engineering Program. The lived experiences engaging in this change
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of Engineering with many fascinating projects that focus on applying advanced nonlinear theoretical, computational and experimental techniques to solve practical real-world problems in engineering and biomedicine
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Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14
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. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease
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considered if the position has not yet been filled. Position description The Water and Energy Technology Laboratory is recruiting for two qualified postdoctoral researchers that are self-motivated, creative
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engineering; Microstructure characterization skills; Computational modeling capability; Publication and proposal preparation capability; Student mentoring for junior PhD and undergraduate students Additional
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School of Engineering and Applied Sciences Posting Number P250156 Posting Link https://www.ubjobs.buffalo.edu/postings/57731 Employer State Position Type Professional Appointment Term Term Salary Grade SL1
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, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling