132 data-visualization-analysis-"https:" Postdoctoral positions at Pennsylvania State University
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. PREFERRED QUALIFICATIONS Expertise in nutritional epidemiology and diet-related chronic disease research. Experience with causal inference methods, longitudinal data analysis, and advanced epidemiologic
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and staining. Assist with experimental design, data collection, analysis, and interpretation. Maintain accurate laboratory records and ensure compliance with institutional animal care and research
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collaboration with faculty and research staff at NCEMS, will conduct original research involving proteomics, mass spectrometry data analysis, protein interactions, protein complexes, post-translational
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Sequencing data analysis will be desirable but not required. Individuals will benefit from trainings in orthotopic lung cancer and/or pancreatic cancer metastasis models, metabolomics/lipidomics, metabolic
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through instrument development, while also contributing to analysis, simulations, and/or monitoring. There will be opportunities for field campaigns to the site in Argentina. Previous experience in radio
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://ai.psu.edu/ ), Institute for Computational and Data Sciences (https://icds.psu.edu/ ), and other Penn State interdisciplinary research institutes (https://www.psu.edu/research/interdisciplinary-institutes
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standard molecular and biochemical techniques. • Experience with fluorescence microscopy and quantitative analysis of microscopy data. • Evidence of scientific productivity and the ability
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fields. Experience with genetically engineered mouse models and Next Generation Sequencing data analysis will be desirable but not required. Individuals will benefit from trainings in orthotopic lung
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. Demonstrated expertise in bioinformatics, statistics, microbiome data analysis, and/or computational methods. Experience working with large population-level datasets (e.g., NHANES data sets or other large-scale
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(1 page max). Please emphasize your experience with secondary data analysis, advanced statistical and quantitative modeling skills, and research related to health disparities. Research statement (1