281 parallel-computing-numerical-methods positions at American University in United States
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pounds and retrieve materials from shelves that are seven feet high. This position requires both legible handwriting and proficiency in using computer applications and web-based databases. The Student
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account may cause delays in a hire process. Department: DC Reads Support Time Type: Part time FLSA Status: Non-Exempt Job Description: Summary: American University’s DC Reads Program allows students
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recorded program content as scheduled. The News Anchor/Host collaborates with editors and producers on WAMU’s news team to prepare and review content for broadcast and digital publication, which may include
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, staff, students, or guests. Resets passwords and provides application support for the University-supported desktop applications, and troubleshoots PC and Macintosh computer configurations. Anticipates
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. Preferred Education and Experience: Majors/minors including communications, public affairs, and journalism are helpful but not required. Proficient computer skills including Microsoft Office suite, Adobe
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; set up procedures to ensure high quality of work and adherence to deadlines; follow up with others to ensure that agreements and commitments have been fulfilled; and to adapt organizational methods
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projects using mixed-methods approaches, with particular emphasis on quantitative methodologies. Guide the innovative research methodologies and approaches to explore complex aspects of extremism and
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desired business outcomes for the University. The Senior IT Project Manager will also participate in strategy-related activities as part of the PMO, such as roadmap creation, program development/management
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meaningful change in the world. Learn more about American University Department: Program Initiatives Time Type: Full time Job Type: Regular FLSA Status: Exempt Work Modality: Hybrid 01 (On Campus 3-4 Days/Week
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-quality research in Computational Neuroscience, including but not limited to areas such as artificial intelligence, convolutional neural networks, reinforcement learning decision making, memory