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software development experience. PREFERRED: Experience with rotational spectroscopy, radio astronomy, radiative transfer calculations, and/or machine learning. These qualifications can be demonstrated
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
, machine learning and surrogate modeling; and presentation skills and proven research independence. Application material should include a cover letter, CV, and the names and contact information of three
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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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Requirements REQUIRED: Ph.D. in Atmospheric science, Civil and Environmental engineering, mechanical engineering, or a related field; knowledge of and demonstrated skillset in physics-informed machine learning
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, theoretical statistics, or related fields. Applicants should have a solid background in probability and statistics/machine learning. The postdoctoral fellow will be mentored by Alexander Rakhlin (MIT). We will
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs, an upcoming Large Program on
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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