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levels depending on their qualifications. Key Responsibilities: Conduct deep and thorough review of subject literature. Import datasets into a variety of software applications including R, SAS, and python
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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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reproducible computational workflows. This is an excellent opportunity for someone with strong programming skills in Python, MATLAB, or R, and an interest in computational neuroscience, to contribute directly to
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network models on computing clusters Knowledge, Skills and Abilities: Demonstrated fluency in Python, and willingness to keep up with new machine learning libraries (pytorch, lightning, …) Knowledge
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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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querying data with SQL or another programming language (e.g., R, SAS, Python, etc.). At least two years of project management experience. At least two years of people management and supervision experience
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processes) to enable large-scale data processing and integrate the developed tools with toolkits to process genomic data. Write and apply customized scripts (e.g., shell scripts, Python algorithms) to support
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Histological techniques. Experience with Python, MatLab, or R. Experience with nonmurine mammals How to Apply: For full consideration, please submit the following document(s): A letter of interest describing
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research protocol information Electrophysiology Multiphoton or confocal imaging Histology, CLARITY, in-situ hybridization Programming (Matlab/IgorPro/Python), electronics fabrication How to Apply: For full
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(4) years of experience analyzing data using a programming language, such as R or python Experience programming and attributable source code in R, Python, or related languages that are widely used in