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call "CU PM&R") is at the forefront of using team science, regenerative medicine, and exercise treatments. It is uniquely situated in the state-of-the-art CU Anschutz Medical Campus, the first campus in
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and advanced concepts in genetics and genomics. Demonstrated fluency in one or more programming languages (e.g., R, Python, C++) and willingness to learn new ones as necessary. Ability to communicate
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inquiry that mitigates disability, promotes functional independence, and improves human performance. The department of Physical Medicine and Rehabilitation at the University of Colorado (CU PM&R) is at
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understanding of biology with at least one genetics course and be proficient in R and bash. This position will lead a project that uses genetic heritability as a tool to improve phenotype pre-processing decisions
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of peripheral blood mononuclear cells from whole blood, qPCR, real time PCR, sandwich and bead-based ELISA, flow cytometry). Highly proficient in R, SAS, or comparable statistical software. REDCap project design
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experience. Conditions of Employment: Registered as a Radiologic Technologist (R) by the American Registry of Radiologic Technologists (ARRT) (R). Specialty ARRT certification(s) if required for the position
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or TensorFlow to develop state of the art machine learning pipelines. Perform statistical analysis in languages including R and Python Work Location: Hybrid – This role is eligible for a hybrid schedule of 2
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. History of applying for and obtaining research funding. Experience mentoring trainees and managing collaborative research teams. Basic bioinformatic experience using R or similar platforms. Knowledge
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one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary. Familiarity with statistical analytical concepts and methods
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an experimental or wet lab. Experience with data analysis on protein-protein interaction, and mass spectrometry-based proteomics. Prior experience with scientific programming and statistics using R/Python. Prior