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and cell-specific knockout mouse models, molecular biology and biochemistry, immunofluorescence, super-resolution microscopy, high-speed dual-inverted light sheet calcium imaging, arterial myography
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background in biochemistry and in molecular and cell biology and will be responsible for performing all the experiments proposed for this project, including mouse learning memory behaviors, Western blot
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developmental retinal angiogenesis and molecular biology preferred. Applicants should have a demonstrated commitment to and knowledge of equal employment opportunity and affirmative action. The University
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machine learning with multiethnic biomedical data. This position is funded by an NIH R01 grant until August 2026. Qualifications Qualifications Ph.D. in Computational Biology, Computer Science, Statistics
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high-resolution microscopy, computational data analysis (including AI models), microfluidics, or bacterial cell biology will be strongly considered. Proficiency in coding is needed for this position
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postdoctoral position at the rank of Postdoctoral Scholar to conduct research in a NIH-funded project. The research area is Gastrointestinal Epithelial Biology (gut microbiota and mucosal barrier function
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network theoretic models The lab is affiliated with the Department of Ecology and Evolutionary Biology, the Department of Mathematics, the UT One Health Initiative, and NIMBioS and the candidate will be
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engineering, synthetic biology, protein engineering, yeast physiology, yeast genetics, yeast metabolism, molecular cloning, CRISPR gene editing, fermentation, high-throughput screening, fermentation, and/or