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) structure/function and defining how CAR structure impacts brain tumor response and resistance. The postdoctoral fellow will conduct experiments and assist with project planning and data interpretation, as
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to disentangle co-occurring conditions using multi-omics data in Down syndrome. The position will be jointly mentored by Dr. Casey Greene in the Department of Biomedical Informatics and is funded by the NIH
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interpretable AI models. Leveraging bioinformatics and multi-omics data integration to explore disease associations and biomarker discovery. Dr. Nicholas Dwork, PhD (Co-I) is an Assistant Professor in
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integrate genomic data, microscopy data, and mouse behavioral data Present research findings in group meetings Publish research findings, assist with grant writing, and present work in conferences It is not
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and analyze tissue and organoid cultures FACS analysis and sorting Plan and conduct molecular biological, cellular biological, and other experiments Analyze and interpret data Troubleshoot experiments
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single-cell transcriptomic data. The candidate should be proficient in, or highly motivated to learn cancer data science, machine learning, and high throughput sequencing analysis. Successful applicants
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, including design of experimental setup, data generation, data interpretation, and manuscript writing, with the following key responsibilities: Wet lab responsibilities: Conducting molecular biology
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, quantitative, and mixed methods to answer complex research questions. Lisa Abuogi, MD, MSc and Karen Hampanda, PhD, MPH jointly lead a program of federally-funded research focused on improving outcomes for women
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at the time of hire. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: Experience in developing and
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offer 9 fellowships and participate in numerous graduate schools and the MD/PhD program of the CU School of Medicine. Our faculty and staff are diverse, and gender balanced, with women comprising 50