561 parallel-computing-numerical-methods-"Simons-Foundation" positions at Northeastern University in United States
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About the Opportunity The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in the Foundation Year Program - College
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using existing methods and theories. Assists the supervisor in the interpretation and publication of results and assists in reporting related to grants. Maintains the laboratory and may exercise
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, such as, but not limited to, Urban Planning and Policy; Public Administration; Public Policy; Law and Public Policy; Urban Informatics; International Affairs; or Environmental Science and Policy. Teaching
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quantitative methods and analyzing structural and functional neuroimaging data. Applicants should be highly motivated and creative, have excellent oral and written communication skills, and demonstrated research
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the manipulation of air-sensitive chemicals including Schlenk line and glovebox techniques. Experience with the synthesis and characterization of porous materials including solvothermal methods, powder X-ray
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program; develop training drills; manage data analysis, video and team game planning, coordinate with marketing and promotions, operational services, equipment manager and compliance staff on behalf
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About the Opportunity Teach selected graduate courses in the day and evening programs in the Department of Electrical and Computer Engineering at the Roux Institute. Course topics might include
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decision making support.. The local MBA, MS and Graduate Certificate program markets are extremely competitive. Aggressive and consistent admissions efforts paired with data-informed strategies are essential
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and ensuring compliance with university and league policies. Qualifications Coaching experience with young adults desired but not required Willingness to help create a new program for the 2025-26 school
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal