14 parallel-computing-numerical-methods research jobs at Massachusetts Institute of Technology
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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. in Computer Science or another related field defended and completed by the start date of the position, which is no later than September 1, 2026; advanced quantitative methods training with expertise in
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environments) remains an open frontier. The new MIT Multi-agent AI Postdoctoral Fellowship Program at Schwarzman College of Computing (MIT MAPS) brings together cutting-edge methods in machine learning
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
methods using Stata and GitHub; analysis of large-scale datasets derived from Census and IRS tax forms; and build upon earlier work studying the welfare impacts of government policies , the impact of local
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Massachusetts Institute of Technology, Schwarzman College of Computing Position ID: Massachusetts Institute of Technology-Schwarzman College of Computing-POSTDOC [#30576] Position Title: Position
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methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, ozone depletion, and radiative forcing by these gases at sub-national to global levels
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
well as the role of institutions (e.g. governments, unions) in regulating labor market inequality; gain exposure to and training in a broad set of economic research topics and methods; work on research projects with
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composition and performance. The program concentrates on work that brings cutting edge AI to bear on research in science or music, to advance both the research area and the development of relevant AI methods
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Subpolar Gyre (SPG) as part of the POLEMIX program, funded by the Forecasting Tipping Points initiative. This role involves integrating autonomous profiling observations with the ECCO (Estimating
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gained as an undergraduate); strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant