26 lecturer-computer-science Postdoctoral positions at Massachusetts Institute of Technology
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Location: Cambridge, Massachusetts 02139, United States of America [map ] Subject Areas: Physics / Quantum Information , Quantum Information Science , quantum information theory , quantum information
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Massachusetts Institute of Technology, MIT Kavli Institute Position ID: MIT-MIT Kavli Institute-PAMILLHOLLAND [#30922] Position Title: Position Type: Postdoctoral Position Location: Cambridge
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
estimates of the SPG, utilizing high-resolution nested models to improve predictions of climate tipping points. Job Requirements REQUIRED: Ph.D. in Oceanography, Climate Science, Computational Modeling, or a
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Center for Sustainability Science & Strategy, to join an international team of experimentalists and theoreticians in the Advanced Global Atmospheric Gases
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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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program; produce work for publication, present work at scientific conferences, and mentor graduate and undergraduate students. Job Requirements REQUIRED: Ph.D. in Physics, Nuclear Engineering, Plasma
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Massachusetts Institute of Technology, History Section Position ID: MIT-History Section-POSTDOCTORALASSOCIATE [#30660] Position Title: Position Type: Postdoctoral Position Location: Cambridge
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based upon satisfactory performance. Job Requirements: Required: a Ph.D. (expected or obtained) in statistics, engineering, computer science, mathematics, economics, operations research, or a related
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invites applications for a Postdoctoral Fellowship, effective July 2026. AOS: Ethics or Social/Political, focused on the ethics of computing and technology. AOC: Open. Teaching: 2 courses/year or equivalent
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, computer science, or a related field; experience in machine learning and developing and validating computational analysis workflows; attention to detail; excellent interpersonal, analytical, problem-solving