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technical requirements and implement assigned development tasks using appropriate tools and technologies. Utilize Python or similar tools to support data preparation, automation, and efficiency improvements
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in medical research Ability to analyze and solve complex problems and apply quantitative analytical approaches Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C
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programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary. Understanding of data structures, data modeling and software architecture. Deep
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/Linux shell scripting, and either Python or R. Knowledge, Skills and Abilities: Expert knowledge of basic statistical principles relevant in bioinformatic research Expert ability to analyze and solve
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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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, Python, and/or R. Experience in finance, revenue cycle management, clinical operations, and human resources practices at CU Anschutz or its affiliates. Experience in academic medicine or healthcare
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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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mathematical analysis pipelines in Python. You will drive exploratory data analysis, feature engineering, and model development, while applying solid documentation and coding practices that make results reliable
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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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in R or Python Candidates that have successfully obtained competitive, extramural funding during their doctoral studies are preferred. Knowledge, Skills and Abilities: Excellent written and verbal