100 computer-science-programming-languages-"the"-"FEMTO-ST-institute" positions at The University of Chicago
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Department Press Bibliovault Technology About the Department Based at the University of Chicago Press, BiblioVault is an ebook distributor, ebookstore, and resource for non-profits. We provide
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required to store some materials at a secure home office location. Provides program implementation and technology support to additional partner orgs who provide TMW programs, as needed. Project Support for
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support. 2-3 years of managerial or supervisory experience of cross functional software engineering teams. Advanced programming skills using Python, Golang/Javascript, and other languages like C/C++, Java
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skills developed through < 2 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education: Bachelor’s degree in Economics, Computer Science, Physics
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. Execute a calendar-based and program strategy to identify and solicit annual gifts for several hundred donor prospects across alumni and parents/families. Plan and execute a target of 250 prospect
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, Conference Center, Executive Program as well as other department managers, and University staff as needed. Responsibilities Works with London, Hong Kong, and Singapore campus staff together with the local
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Qualifications Education: Advanced degree in computer science, mathematics, statistics, engineering, or a relevant quantitative field strongly preferred. Experience: 3+ years of relevant software development
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staff per appropriate union contracts and administer awards and recognition program based on established KPIs. Manage staff time in appropriate UChicago system to ensure all hours worked are accurately
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are top priorities for the Department. The residency and fellowship programs are highly ranked and have a history of training leaders in healthcare. The Department also has a significant research enterprise
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), to examine the influence of environmental factors on brain activity. We also use computational methods, including machine-learning, natural language processing, and spatial analysis, to analyze large datasets