549 parallel-computing-numerical-methods-"Simons-Foundation" positions at Northeastern University in United States
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concentration that is part of the Project Management degree and certificate programs. Courses include (but are not limited to): Introduction to Construction Management, Alternative Project Delivery Methods
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faculty. Northeastern’s experiential model, with its signature co-op program, has expanded to include a vast array of real-world projects and experiences that attract top students at all stages of learning
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theme development, creation of technical content, and ensuring that the program budget and schedule are competitive yet realistic; ensuring that funded programs are exceptionally executed, with a focus on
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spectrum disorders, behavioral measurement and evaluation, opioid crisis, contemporary theoretical perspectives, research methods, and concepts of the human behavior and development; offering students
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are normally obtained through a Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, or related field; with a minimum of 2 years of experience working with large language models and
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systems. (30%) Mentor graduate and undergraduate students associated with the Public Computing Lab. (15%) Publish research progress and findings in top-tier academic venues; contribute to grant writing and
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expertise in applying these methods to the fields of Public Policy, Political Science, Urban Planning, Public Administration, Urban Informatics, International Affairs, Criminology/Criminal Justice, Climate
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of an interdisciplinary model of healthcare. PHTH 2350. Community and Public Health. Provides students with a basic familiarity with and appreciation of public health and community-based methods for improving the health
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, neuroscience, public health, or a related field; (2) excellent organizational and communication skills, (3) B.A., B.S., or equivalent required, (4) experience in a lab using electroencephalography (EEG) methods
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questions, to write well-documented code in Python, and to demonstrate familiarity with machine and deep learning methods. There will be opportunities to co-author publications and contribute to grant