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calling and molecular data analysis. Preferred Qualifications Experience with advanced sequencing pipelines, variant calling workflows, or high-throughput assays (e.g., bulk/single-cell RNA-seq, ATAC-seq
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conferences. Level of Decision Making: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows, including library preparation and data analysis. They will
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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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for a candidate with expertise in applying solvothermal thermodynamics for heterogeneous systems for the synthesis of ternary nitrides. The candidate will develop a new process to reduce ceramic cations
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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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-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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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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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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data analysis techniques (e.g., using MAXQDA). Additional responsibilities include collaborating with and mentoring a team of graduate and undergraduate student researchers. There may be opportunities