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to and build upon modern Python-based statistical modeling tools such as pyhf, supporting likelihood publication, large-scale analysis combinations, and result reinterpretation across the ATLAS
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members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http
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: Experience with Microsoft Office Suite, especially database programs such as Excel, Powerpoint, etc. Proficiency with Tableau, PowerBI or other data viz platforms. Familiarity with python, R, R Studio or other
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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include designing and implementing full-stack applications, spanning backend services, APIs, and open-source software, with a primary focus on Python-based, scalable, and robust systems deployed in cloud
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the fundamentals of machine learning, with the ability to use Python or R. Experience working with messy, real-world data sets. Experience working with text, images, or other non-tabular data formats. Pay Range
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Linux, Python, and at least one additional programming language. Experience working with large, existing codebases. Experience in building web applications and APIs. Technical Skills or Knowledge
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clusters. 2-5 years. Experience with the installation, maintenance, trouble shooting of UNIX systems in a professional capacity required. 2-5 years. Experience with Python, bash scripting, and distributed
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-through scientific discoveries. Job Information Job Summary: Globus Labs is seeking a part-time Python developer to contribute to ongoing research projects at the intersection of distributed systems, data