13 experimental-fluid-mechanics Postdoctoral positions at Massachusetts Institute of Technology
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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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for the heliums (3He and 4He) and their mixtures over a temperature range from 10 mK to 300 K and a pressure range of 0 to 30 bar (where these substances are fluid). The project will also have a parallel effort to
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
) Position Description: Apply Position Description Postdoctoral Research Position in Experimental Nuclear/AMO Physics MIT Department of Physics Start date: As soon as a suitable candidate is identified. We
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research in core/edge modeling, scenario optimization and experimental interpretation in the SPARC tokamak; lead the efforts of creating a platform to analyze experimental data in SPARC early campaign
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
applying techniques from quantum optics to problems in precision measurement, fundamental physics, and gravitation. Our research employs precision interferometry in a range of experimental efforts including
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; general knowledge of fusion-grade plasma physics; strong experimental, analytical, and programming skills; and ability to work collaboratively in a team-oriented research environment. PREFERRED: Hands
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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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on data management and workflow development, integrating diverse data sources (including simulation, experimental, and engineering data), and ensuring compliance with data standards, besides leading
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
on data management and workflow development, integrating diverse data sources (including simulation, experimental, and engineering data), and ensuring compliance with data standards, besides leading
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methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, ozone depletion, and radiative forcing by these gases at sub-national to global levels