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Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required
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to validate the findings. Education Requirement: Interested applicants must have (or soon expect to have) a PhD with publications in biochemistry, molecular and cellular biology, immunology, pharmacology, or a
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communities in the nation (Livability.com). To learn more about our great community, please click here . And for more information about Why Iowa?, click here. Applications will be accepted until the position is
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experience in pharmacy practice. Hands-on experience with some combination of the following: Programming and conducting computational and statistical analyses on large administrative claims data, electronic
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improvement Excellent written and verbal communication skills. Proficiency with computer programs – specifically MS Office (Word, Excel, and PowerPoint). Maintain excellent lab notes and records. Demonstrated
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-cancer pharmacology Experience working with large datasets Experience with bioinformatic approaches, including the analysis of next-generation sequencing data sets Experience with CRISPR-based approaches
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cell technology. Experience with RNA sequencing, gene editing (CRISPR-Cas9), single particle imaging, and large data set analysis. Proficiency in programming languages like R, python, Matlab Online
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Professor, Associate Professor, or Full Professor level, commensurate with the individual’s previous experience. Applicants must have a PhD, MD, DO or equivalent doctoral degree from an accredited college
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clinical data, cell culture systems, and mouse models to understand the role of the Hippo pathway and the downstream transcriptional activators TAZ and YAP in sarcomas. Education Requirement: PhD or MD/PhD
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will be expected to work independently while interacting in a collaborative environment. Education Requirement: PhD, MD/PhD or MD with significant bench research experience. Required Qualifications