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, Python, R, and related analytical tools. • Experience supervising or mentoring students or research staff. Knowledge, Skills, and Abilities • Demonstrated ability to manage multiple priorities and
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family. Please see website for additional information: https://medschool.cuanschutz.edu/psychiatry/PatientCare/colorado-center-for-women's-behavioral-health-wellness Why work for the University? We have
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) https://www.cu.edu/employee-services/benefits-wellness/new-employee/PBO/post-doc · benefits guide cover-post-doc-2024 (cu.edu) https://www.cu.edu/docs/benefits-package-guide-post-doctoral-fellows
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.) ● Strong computational background, including: o 2 years of experience in programming (e.g., Python, R, Julia, or similar); o Evidence of working with large-scale datasets (e.g., genomics, transcriptomics
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learning, searching algorithms Advanced knowledge of basic statistical principles relevant in medical research Demonstrated proficiency in Python, with a focus on NLP frameworks such as Transformers, SpaCy
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field. Minimum of 2 years’ experience in cell culture, in vivo work, confocal microscopy or computational analysis of RNAseq in R/Python. Preferred Qualifications: Experience with primary cell culture
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college or university in statistics, biostatistics, computer science or related field Experience in causal inference Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred
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, including data pre-processing and integration of complex datasets. · Advanced Programming and Analysis: Implement and optimize complex programming techniques using tools like R and Python to conduct
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. Experience with histological techniques such as immunohistochemistry. Knowledge, Skills, and Abilities Knowledge of coding language such as MATLAB or Python. Excellent time-management skills. Attention
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techniques using tools like R and Python to conduct exploratory data analysis, modeling, and downstream analysis. · Visualization and Dissemination: Create data visualizations and contribute