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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 14 hours ago
systems. Critically, there are major uncertainties in the future weather patterns on which energy systems depend. This project will integrate high-resolution climate model downscaling, based on dynamical
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 hours ago
/supporting applications development and experiment realizations on DIII-D and international tokamaks; support the creation and validation of machine learning models, particularly in areas like plasma
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, DORKENWALD LAB, McGovern Institute for Brain Research - Dorkenwald laboratory , to develop computational reconstruction, analysis, and modeling
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Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering
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Experiment (AGAGE) and a large atmospheric chemistry group at MIT. The work will focus on interpretation of AGAGE observations of greenhouse and ozone-depleting gases using models, measurements, and inverse
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
, climate scientists, and modelers to create and improve a digital twin framework that uses emulators to better represent ocean mixing and forcing; and working will contribute to next-generation ECCO
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neoclassical tearing modes in metal-wall scenarios; support the creation and validation of machine learning (ML) and hybrid physics + ML models to monitor and control the proximity to stability boundaries
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/supporting applications development and experiment realizations on DIII-D and international tokamaks; support the creation and validation of machine learning models, particularly in areas like plasma
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
orbital dynamics using analytic and numerical methods, (2) planet formation theory, (3) exoplanet architectures and demographics using statistical methods, and (4) planetary interior/atmosphere modeling
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Monte Carlo charged particle simulations to model energy deposition and generation of secondary particles, and collaborate with a team of researchers to explore heating, melting, vaporization, and general