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: Qualifications PhD in social science related discipline, public and community health, or closely related field Expertise in quantitative, qualitative, and/or mixed methods applied research Track record
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performs MRI research and development of advanced multiparametric methods for the evaluation of primary and metastatic brain tumors. Recent work incorporates machine learning methods to advance
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receptor signaling. Our lab uses a variety of biophysical techniques to characterize protein structure and dynamics in these studies, notably continuous-wave and pulsed EPR methods such as DEER spectroscopy
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research. Ensure compliance with regulatory and institutional policies. Knowledge – Skills – Abilities Advanced proficiency in statistical software and database management. Expertise in mixed-methods
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of media production, communication, and dissemination techniques, methods, and best practices to effectively communicate information and provide feedback in a timely manner in a variety of forms. Grants
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; strong critical thinking, independent problem solving and attentiveness to detail are required. Exhibit competence with MS Office software, familiarity with the use of public sequence, model organism
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sets and TLFs. Performs descriptive, univariate, and multivariate (with PhD statistician supervision) analyses. Provide project management for studies and projects to ensure the timely and accurate
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longitudinal modeling, machine learning methods, subgroup analysis, or other advanced modeling techniques is highly desirable. Software Proficiency: Experience with neuroimaging tools such as AFNI, SPM, FSL
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thinking, problem solving and attentiveness to detail required. Training and credentialling required includes formal training in biomedical sciences, especially respiratory physiology. Required scientific
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computational and database methods for implementation. May serve as primary statistician for area. May oversee the work of laboratory personnel including training and development as well as daily work direction