30 agent-based-modelling Postdoctoral positions at Massachusetts Institute of Technology
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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 13 hours ago
visits to our partner lab in Vienna. Applicants must have a Ph.D. in physics or a related field by the start of the position. Applicants should have a strong background in experimental laboratory-based
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center- The Magnetic Confinement Energy Integrated Modeling (MFE-IM) and SPARC Performance and Transport (P&T), to conduct
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 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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/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 2 months 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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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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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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, 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