18 postdoc-machine-learning Postdoctoral positions at Massachusetts Institute of Technology
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 19 hours ago
administration tasks that would typically be expected of postdocs including attending research update meetings, assembling project reports, and producing academic publications. These administration tasks will
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 14 hours ago
students, and graduate students involved in the research program. Salary Range: $71,000 to $90,000 NOTE: LNS pays postdocs a specific set rate based on years of experience. MIT is an equal opportunity
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, 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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
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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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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how circuit structure supports computation. Will lead research on one or more of the following areas: Automated proofreading & annotation at scale: Machine learning approaches for error detection, human
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
collaborators at other universities along with a research team of pre-doctoral fellows based at MIT. The full job description is available here: https://policyimpacts.org/postdoc-job-description-policy-impacts
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 14 hours ago
supermassive black holes through a combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO
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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