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for the Department of Human Genetics and Physical Medicine and Rehabilitation (PM&R). All responsibilities below will cover these areas unless specifically noted. Expected share of effort will be approximately 50
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methods. Expertise in literature research. Experience with platforms for data processing and statistical computing, as well as graphics preparation, (e.g., Excel, R, ArcGIS, Adobe Illustrator
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methods, including leading technologies and languages - R, Python, SPSS, SQL, Power BI, and Tableau - implementing innovative strategic analytics to inform decision-making for leadership at the University
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, MATLAB, or R). • Experience with image analysis, computational imaging, or autonomous sensing systems. • Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities
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of algorithms in MATLAB and R to analyze research data, animal experiments, and working with research protocols. Department Specific Qualifications Education: Bachelor’s Degree in relevant field Experience
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proficiency in statistical software such as SAS, Stata, R, or SPSS. Experience in quantitative analysis of large, longitudinal datasets Demonstrated success in program and project development and management
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thinking skills. Competence in data analysis and visualization using software such as GraphPad Prism, R, or Python. Excellent scientific writing and communication skills, with a track record of peer-reviewed
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, spatial transcriptomics, ChIP-seq, ATAC-seq, and tumor microenvironment profiling, and apply bioinformatic tools (e.g., R) to analyze complex datasets. Additional responsibilities include contributing
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experience may be considered. Knowledge, Skills and Attitudes: Proficiency in statistical modeling, machine learning, and data visualization techniques. Strong programming skills (e.g., Python, R, SQL) and
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skills (e.g., Python, R, SQL, or similar). Experience working with interdisciplinary research teams and external stakeholders. Excellent communication, mentorship, and collaboration skills. Experience in