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reinforced concrete structures, using mechanical, acoustic, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and
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of statistical concepts and methods. Proficiency in at least one programing language (e.g., R, SAS, STATA). Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data
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-molecule fluorescence, and bulk biochemical methods will be used to investigate how these motor proteins convert the energy from ATP hydrolysis into mechanical work in order to promote pre-ribosomal folding
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: 254037 Minimum Education and Experience: · Education: Ph.D. in Nursing from an accredited institution. · Research Experience: Demonstrated experience in research methods, preferably with expertise in
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modeling tools such as EnergyPlus, OpenStudio, or DesignBuilder and community scale building energy tools such as UrbanOpt o Strong quantitative research skills, with the ability to leverage these methods
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to contribute to cutting-edge research in the development of clinical trials, self-management science, acute/chronic disease management and pain mechanisms and methods under the mentorship of renowned faculty
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procedures and propose new methods or improvements. Contribute to the development of research methodologies and selection of instrumentation for metabolic studies. Present research findings at national
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he successful candidate is expected to have experience with advanced functional neuroimaging data analysis methods and/or computational cognitive modeling. Preferred Qualifications Previous experience
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biochemical methods will be used to investigate how these motor proteins convert the energy from ATP hydrolysis into mechanical work in order to promote pre-ribosomal folding. The assays developed will be used
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dysfunction, such as how momentary social disconnection relates to increases in suicidal ideation in daily life. The postdoc will gain experience in clinical research methods, with specific involvement in