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, specifically in biopsychosocial aspects of mental health, acute/chronic and pain related conditions, including sickle cell disease. Data Collection & Analysis: Design and implement data collection strategies
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electrophysiology, optogenetics and opto-tagging, viral circuit tools, anatomical tract tracing, immunohistochemistry and imaging, and quantitative analysis of behavioral and neural data. The Postdoctoral Associate
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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socially marginalized communities. The position will lead data management and analysis for ongoing research projects. There will be opportunities for authorship on publications, presentation at conferences
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-analytic reviews and the design of studies, as well as the collection, analysis, and interpretation of data; prepare scientific manuscripts for publication; and present research findings at professional
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materials, and surface analysis methods. Key Duties & Responsibilities 1) Metal nitride synthesis – 25% 2) Reaction product characterization- 25% 3) Set up, fix, and operate equipment- 20% 4) Writing journal
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microbial genetics and cultivation, molecular cloning, protein expression and characterization, DNA and RNA purification and analysis, and protein-nucleic acid interactions is required. The candidate should
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Experience in research and data analysis highly preferred. Strong foundational knowledge or interest in molecular systems, structural biology, or cellular biology preferred. Experience with computational
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reviews, development of study materials, various data collection activities, preliminary data analysis, and implementation of other activities as assigned to ensure conformance with the project’s goals and
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the direction of the Principal Investigator, the Postdoctoral Associate will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the disease mechanisms