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, echocardiography, and/or MRI/CT imaging analysis in pediatric and fetal populations. • Co-lead the development and validation of AI/ML algorithms for fetal cardiac ultrasound image analysis and CHD subtype
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laboratory of Dr. David E. Warren (principal investigator/PI) with the PI and his research team to plan, develop, implement, and conduct research projects at UNMC. This includes ongoing NIH-funded research in
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, echocardiography, and/or MRI/CT imaging analysis in pediatric and fetal populations. • Co-lead the development and validation of AI/ML algorithms for fetal cardiac ultrasound image analysis and CHD subtype
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to plan, develop, implement, and conduct research projects at UNMC. This includes ongoing NIH-funded research in developmental, aging, and neurological populations including healthy children, healthy older
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to determine the actions of FSH. Perform RNAseq, ATACseq and Cut and Run of granulosa cells and perform bioinformatics analysis. Maintain laboratory records and prepare reports and publications. Assist in
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Associate. The research of the Shi Lab focuses on the epigenetic mechanisms that regulate embryonic heart development, with a particular emphasis on chromatin remodeling complexes (Robbe and Shi, et al
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of granulosa cells and perform bioinformatics analysis. Maintain laboratory records and prepare reports and publications. Assist in the preparation of grant applications. Required Qualifications: PhD
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Center (UNMC) is seeking applications for a Postdoctoral Research Associate position. The research group at UNMC focuses on developing advanced computational and AI-enabled tools for radiation biology and
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scientists. This person coordinates the activities of core staff, conducts necessary development work in ligand screening, and presents research progress at campus-wide seminars. Required Qualifications PhD in
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Position Summary The Shen Lab at UNMC is seeking a highly motivated Postdoctoral Research Associate to join our team investigating the mechanisms of epileptogenesis and brain development. Our research