33 finite-element-analysis Postdoctoral positions at Rutgers University in postdoctoral
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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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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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field is required. Proficiency with programming and data analysis using at least one of MATLAB, Python, or R is required. City: Piscataway State: NJ Physical Demands and Work Environment: PHYSICALDEMANDS
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have experience working with human subjects. Experience in multimodal data integration and statistical analysis is required. Experience with neuroimaging and/or other large-scale biomedical or behavioral
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have experience working with human subjects. Experience in multimodal data integration and statistical analysis is required. Experience with neuroimaging and/or other large-scale biomedical or behavioral
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psychiatry, or a related field is required. Proficiency with programming and data analysis using at least one of MATLAB, Python, or R is required. Certifications/Licenses Required Knowledge, Skills, and
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problem-solving skills. Certifications/Licenses Required Knowledge, Skills, and Abilities Develop and support the preparation of scientific protocols and statistical analysis plans for funded research
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data. Leading statistical analysis (methods may include IPTW-weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring). Developing and extending an AI