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, or Data Science. Experience: Experience processing and managing both image and tabular data. Preferred Competencies Proficiency in Python, BASH, SLURM and PyTorch; familiarity with R. Analytical skills
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for quality and proper format. Makes notation when images are to be repeated, and the proper technical factors needed for correction. Provides patient education prior to, during, and subsequent to the procedure
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engineering, computer engineering, or a related field. Experience: A minimum of 3 years of significant work experience. Chip design and testing. Background in academic and laboratory environments. Prior
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Computer Science or Data Science. Experience: Previous data science experience. Preferred Competencies Proficiency in Python and BASH; familiarity with SLURM and PyTorch. Proficiency in machine learning specifically
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. Background or experience as a computer engineer, including the development and production of applications and software solutions. Experience in data science programming (mainly Python) and core libraries
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The University of Chicago Academic Jobs Research Appointee - Neurovascular Surgery Research Lab #NSU020 Department of Neurological Surgery, Biological Sciences Division Position Type: Other
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Theranostics program —a rapidly advancing field at the intersection of molecular imaging and targeted radiopharmaceutical therapy. This is an exceptional opportunity for a candidate with expertise in nuclear
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: Knowledge of basic computer proficiency including computer programs and standard laboratory equipment. Knowledge of basic programming in a few coding languages. Preferred Competencies Knowledge of regulatory
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(Cell Segmentation, Cell Classification, Community Detection) We analyze CODEX multiplexed imaging data using established, state-of-the-art computational pipelines to detect immunological differences
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computer science. Experience: Experience in python including torch and scikit-learn libraries strongly preferred. Experience in working with image data or unstructured text data with large language models. Preferred