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), and treatment delivery. Core AI/ML methods (deep learning, radiomics, NLP, multimodal data). Clinical data formats and regulatory/ethical standards. Skills Programming (Python, R, others) and AI
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of Physical Medicine and Rehabilitation at the University of Colorado (which we affectionately call "CU PM&R") is at the forefront of using team science, regenerative medicine, and exercise treatments. It is
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Cyber Defense Education (CAE-CD) and in Research (CAE-R). We comprise 22 full-time faculty, including NSF CAREER, NIH MIRA, and AFOSR YIP winners, with approximately 600 undergraduates, 70 masters
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HEK293FT for packaging viral particles, lentiviral and AAV prep, and managing order pick up. Skilled in using Microsoft Excel, Word, PowerPoint, SnapGene and R-studio Update website Help with reports and
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with systems used by students, faculty, human resources employees, finance employees, and others. Research & Grants (R&G) IT Services supports CU’s Research mission with application products and services
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, Bioinformatics, Biostatistics, or related field. One (1) to two (2) years of experience analyzing data using high-performance computing. Experience with at least one programming language (e.g., Python, R). Prior
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analyses such as RNA‑seq library prep, single‑cell workflows, qPCR, Western blotting, ELISAs, and multiplex assays. Integrate multi-omics datasets using R or Python; collaborate with bioinformatics core
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Science, or related field from an accredited institution. Two (2) years of experience analyzing data using high-performance computing. Two (2) or more years of experience with R and/or Python packages. Two (2) or more
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master's level graduate students working towards their board-certified behavior analyst(R) credential. This role requires experience designing and implementing instruction for graduate students with diverse
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. The Department of Physical Medicine & Rehabilitation (PM&R) programs span the range of services with the latest advances in rehabilitation care for children and adults with complex medical needs. Subspecialties