24 agent-based-modelling Postdoctoral positions at Massachusetts Institute of Technology
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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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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
independently and as part of an interdisciplinary team. PREFERRED: Experience with market modeling or construction industry standards; familiarity with carbon-based materials (biochar, graphite, carbon black
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Posting Description POSTDOCTORAL ASSOCIATE, DORKENWALD LAB, McGovern Institute for Brain Research - Dorkenwald laboratory , to develop computational reconstruction, analysis, and 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
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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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Jet Propulsion Laboratory, focused on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of its projections. Will collaborate with oceanographers
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
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 1 month 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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
REQUIRED: Ph.D. in chemical engineering or other related engineering field; expertise in lifecycle assessment, technoeconomic analysis, and process modeling; excellent communication skills; ability to work