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computational discovery of new quantum materials and optical materials and their heterogeneous structures, demonstration and interpretation of their properties, and the development of related sensing devices and
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. ● Experience with human subject research. ● Facility with statistical analyses such as structural equation modeling, multilevel modeling, and longitudinal analysis ● Demonstrated ability to successfully manage a
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quantitative methods and analyzing structural and functional neuroimaging data. Applicants should be highly motivated and creative, have excellent oral and written communication skills, and demonstrated research
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required. Applicants nearing their thesis defense are encouraged to apply, please inquire further on timing. Application should include: CV Statement of research interests (3pg max) Statement on outreach and
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internally funded grant development and application activities connected to machine-learning-driven approaches to low-cost, low-carbon structural design. Additional Information The College of Arts, Media and
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of oysters, genomic forecasting, evolution of structural variants, and population genomics. More information on lab projects can be found in our lab publication record and our lab website: https
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. This opportunity will involve working on an NIA-funded project to understand how individual differences in the structure and function of the locus coeruleus moderate perception and memory in an older adult
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-Year Writing and Advanced Writing for the Disciplines . While instructors have freedom to structure their individual courses to meet our 12 Learning Goals , all courses focus on the teaching of genre
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that matter to society and impact the Maine economy. Postdocs will receive formal and structured mentoring on topics including mentor/mentee research relationship, technology transfer, and proposal development
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling