8 optimization-nonlinear-functions Postdoctoral positions at Massachusetts Institute of Technology
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. The work will apply state-of-the-art three-dimensional atmospheric chemistry and circulation models, together with advanced statistical techniques (optimal Bayesian, Markov Chain-MonteCarlo, etc.) to solve
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environments, specifically MeV-energy “runaway” electrons with plasma facing components and surrounding structures, although studies could also extend to MeV-energy “fast” ions, neutrons, and gammas. Will use
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of biofuels and e-fuels. In addition to conducting technical work and meeting at regular intervals with MITEI Research Scientists and other staff, the postdoctoral associates will be expected to present
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Posting Description POSTDOCTORAL ASSOCIATE, Earth, Atmospheric & Planetary Sciences, to work with the Climate Modeling Alliance (CliMA), a multi-disciplinary team spanning MIT, Caltech, and NASA’s
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-motivation and ability to work on projects independently; proven ability to handle multiple projects concurrently and meet deadlines; and demonstrated proficiency in Python and willingness to contribute
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combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs
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workshops, prepare progress reports for sponsors, and publish papers at international conferences and in peer-reviewed journals. This position offers the opportunity to work with MITEI ember companies and the
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Monolithic Active Pixel Sensors (MAPS) for the Silicon Vertex Tracker of the ePIC experiment for the Electron-Ion Collider. The successful candidate will play a major role in the design of the readout