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team integrates innovative high-throughput sequencing technologies, bioinformatics approaches, and multi-scale models to elucidate RNA-mediated endothelial biology in the context of diabetes. In parallel
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our ReCord Study ( https://record.umn.edu ). Qualifications Your qualifications should include: · Ph.D. degree in genetics, genetic epidemiology, biological sciences, or a related discipline is
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oncology physicians. Career opportunities upon completion of the postdoctoral training include: Clinical medical physics Medical imaging computer programming Radiation therapy computer programming As
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strategies. Through these efforts, we aim to accelerate the translation of molecular and clinical insights into tools that improve patient outcomes. More information about the lab can be found here: https
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that improve precision oncology and patient outcomes. More information about the lab can be found here: https://www.nathlab.org As a successful candidate, you will: Develop AI/ML models to
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bulk and single cell RNA-seq, ATAC-seq and CHIP-seq. · Expertise in downstream analysis and biological interpretation of bioinformatic findings · Proficiency in R/Python programming
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related field. Strong experience in bioinformatics and analysis of high-dimensional genomic datasets. Strong programming skills in Python and/or R, and experience with Linux/HPC computing
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Institute. Dr. Dhawan leads an NIH-funded research program at the intersection of epigenetics, developmental programming, and diabetes pathobiology. Her laboratory is uncovering how the molecular
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datasets using R, MATLAB, Python, or a comparable programming environment. · Experience integrating computational predictions with experimental observations and translating model outputs into
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software (Word, PowerPoint, Excel, databases) and basic statistical principles Additional Information: · For more information on nPOD please visit here : https://npod.org/ · For