21 phd-in-computer-vision 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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Challenge project “Preparing for a new world of weather and climate extremes,” a project which is co-lead by the Howland Lab and will join a collaborative group of Postdoctoral, PhD, SM, MEng, and
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) and General Observer (GO) programs, an upcoming Large Program on the Chandra Observatory, as well as other programs from both ground- and space-based observatories. MIT has institutional access
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Posting Description POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center (PSFC), to join a team to conduct research in support of the newly awarded Army Research Office sponsored Program to
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. Applicants must have a PhD in Astronomy, Astrophysics, Physics, or a closely related field by the start of the position. The successful applicant must have the ability to carry out an independent research
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. Job Requirements REQUIRED: PhD in Political Science, Environmental Science, Sociology, Anthropology, History, Economics, Psychology, Computer Science, and related fields earned after September 1, 2023
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Requirements REQUIRED: PhD in Political Science, Environmental Science, Sociology, Anthropology, History, Economics, Psychology, Computer Science, and related fields earned after September 1, 2023; and
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Requirements REQUIRED: PhD. in atmospheric physics and chemistry or a closely related field and significant experience in three-dimensional atmospheric chemical transport modeling. PREFERRED: Experience using
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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 | Cambridge, Massachusetts | United States | about 1 month 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