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of the Principal Investigator, the Postdoctoral Associate will assist in multiple aspects of the lab’s research, including study design, data collection, study management, data analysis, interpretation of findings
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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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the direction of the Principal Investigator, assist in single-molecule biophysical analysis of force-producing enzymes. Among the key duties of this position are the following: Prepare samples and carry out
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: (1) epigenetic analysis in a mouse models of Parkinson’s disease related exposures, (2) elucidating molecular mechanisms of pesticide-induced changes in DNA methylation in a 3D neurosphere model in
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desirable. Experience with microbiology (cell culture and molecular genetics), transcriptomics, protein expression and purification and structural analysis are advantageous. Equipment Utilized Physical
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analysis, fNIRS/EEG, wearable sensors, or signal processing. Proficiency in programming languages such as Python, MATLAB, or Java/Kotlin (for Android). Certifications/Licenses Required Knowledge, Skills, and
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conducts research for the Institute of Nicotine and Tobacco Studies (INTS). Duties include: Conducts preliminary data analysis. Participates in various data collection activities. Prepares written reports
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stakeholders to create ad hoc databases for analysis using programming language. Creates and maintains interactive dashboards on Tableau under DOMC staff supervision. Works with investigators, statisticians and
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for providing research activities support to faculty mentor. Perform clinical duties or engage in statistical data analysis and data management, or both. Secure informed consent for participant study
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hope for cancer patients and their families and play a critical role in strengthening the fabric of our communities by gaining and protecting their trust and providing access to the outstanding oncology