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to the research project Record results of experiments: tabulate research data and maintain a detailed, easily understandable laboratory notebook Interpret experimental results Collaborate with PI and others in
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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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microenvironment. Implementation of schedule methodology, timeline and lab book Collecting, recording, analyzing, and presenting data Preparation of project reports and manuscripts for publication Meeting with
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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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Anschutz Medical Campus. Additional mentoring support will be provided by Dr. Ashis Biswas, Dr. Nicholas Dwork, and a multidisciplinary team of clinical neuroscientists and data scientists. This position is
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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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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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, managing data cleaning and wrangling efforts, and preparing scientific communications such as abstracts, oral and poster presentations, scientific manuscripts, and research grant proposals. The projects
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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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, including design of experimental setup, data generation, data interpretation, and manuscript writing, with the following key responsibilities: Wet lab responsibilities: Conducting molecular biology