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career. Engage in open, timely dialogue with your mentor regarding research goals, professional development, and scientific integrity. Model collegiality and uphold the Duke School of Medicine Honor Code
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school with course work in skilled crafts or trades and training in electrical systems, schematics and relevant national, state and local codes. Experience Work requires 3 years of technical experience in
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artificial intelligence for geoscience. Your role will be flexible and largely self-determined. Essential responsibilities may include developing, testing, and deploying code for large-scale model training and
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ICAR - OxyMoRon: Understanding dioxygen production and consumption in apparently anoxic environments
Organization National Aeronautics and Space Administration (NASA) Reference Code 0042-NPP-MAR26-ABProg-Astrobio How to Apply All applications must be submitted in Zintellect Please visit the NASA
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interpersonal skills, a professional demeanor and dress code are required. Must be punctual, reliable and detail oriented. Incumbent must be able to function independently with minimal supervision. Position is a
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coding and sufficient documentation; reconciles expense and other financial reports. • Receives and verifies invoices to purchase orders and approves for payment processing. • Facilitates payment
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reports Enters documentation for contracts, receipts, and invoices in appropriate system with minimal errors Reviews documents for mathematical accuracy, proper coding, compliance, and approval as directed
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code on computer systems, sets-up computer environments and operates various computational equipment, and assists with research projects. This position also performs various clerical and editorial duties
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coding, technical writing, verbal/ visual/ written communication, data analysis, statistics and more during the scope of this program. Additional Information: The Department of Astronomy within the College
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(such as providing support for PEER Center events). The intern must be an undergraduate or graduate student with an interest in economics and coursework or other experience in coding with Python, R, and/or