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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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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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required. · Excellent oral and written communication skills. · Proficiency in one or more programming languages is essential. · Evidence of productivity reflected in first
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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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. Demonstrated proficiency in programming languages such as Python and/or R, with experience analyzing large-scale molecular, clinical, or biomedical datasets. Experience developing or applying machine
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analysis of complex biological and clinical data. Demonstrated proficiency in programming languages such as Python and/or R, with experience analyzing large-scale molecular, clinical, or biomedical datasets
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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