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, postdoctoral fellows, and graduate students, fostering their professional growth. Facilitate training programs and workshops to enhance research skills and promote a culture of continuous learning within CB3
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Description of Work This postdoctoral research associate position will be associated with a research program under the direction of Dr. Carl Nelson, Mechanical and Materials Engineering, in robotics and
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of experience in fMRI research, including education and postdoctoral involvement. Demonstrated ability to integrate fMRI research design and analysis with complementary methodologies (e.g., structural MRI/DTI
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of Nebraska-Lincoln (UNL) Institute of Agriculture and Natural Resources (IANR) is seeking applications for a highly motivated and enthusiastic postdoctoral research associate. This 12-month (calendar year
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science literacy. This is a one-year (12 months) grant-supported postdoctoral research associate position (100% research). This position is in the area of plant breeding, bioinformatics, and molecular
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the University’s N2025 Strategic Plan , we see every person and every interaction as important to our collective well-being and our ability to deliver on our mission. The postdoctoral research associate is expected
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the University’s N2025 Strategic Plan , we see every person and every interaction as important to our collective well-being and our ability to deliver on our mission. The postdoctoral research associate is expected
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, transportation sustainability and resilience, transportation data science, connected and autonomous vehicles, smart infrastructure, or logistics. Relevant postdoctoral or industrial experience. Strong record
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political affiliation. Seehttps://www.unl.edu/equity/notice-nondiscrimination . Minimum Required Qualifications Ph.D. or equivalent in mechanical engineering or a closely related field. Related postdoctoral
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, postdoctoral fellows, and graduate students, fostering their professional growth. Facilitate training programs and workshops to enhance research skills and promote a culture of continuous learning within CB3