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micro data on firms, banks, investors, currencies, trade and financial asset transactions is welcome. Familiarity with Python, Stata, R, MATLAB, SQL is preferred. Candidates should address how they would
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contributor in technology governance and long-term IT strategy. The full job description is available, here: https://www.dropbox.com/scl/fi/wsfq3tkylrvbj54db5aoi/Principal-SW-Engr-Final-updated-12-19-25.docx
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Python and shell-based automation, Docker, and version control practices to support reliable deployment and maintenance of Flywheel gears and associated utilities. Ability to support imaging data handling
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orchestration such as Kubernetes. Proficiency in shell scripting. Experience with revision control systems such as Git. Proficiency in one or more programming languages such as Python or Ruby. Demonstrated
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experience teaching or assisting in a formal (classroom) or informal (out-of-school) learning environment. Experience utilizing coding language(s) such as Python. Bilingual skills (Spanish preferred). Other
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Engineering or Electrical engineering with expertise in hardware security. Excellent analytic, design, and coding skills. Familiar with a programming language, such as MATLAB, Python, C etc and/or hardware
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, to join our team! We are located at the Department of Biomedical Informatics (https://www.chiragjpgroup.org/members.html ), Harvard Medical School, with affiliations with the Harvard Data Science Institute
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higher education setting. Experience collaborating with data analysts and developers. Experience with query tools or languages such as DAX, Power Query, Python, R, or SQL. Experience with ibi WebFOCUS
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Assistant Director, Treasury Planning (Hybrid) - Financial Services - Treasury Planning & Operations
for this position. More About This Job Preferred Qualifications: Exceptional Excel skills: financial modeling and forecasting, complex formulas, scenario analysis, automation and data management using VBA and Python
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/training. Preferred Qualifications: Demonstrated skills (or ability to learn quickly) in any of the following: programming (especially Python), data science, machine learning, and statistics. Previous