26 high-performance-quantum-computing Postdoctoral positions at Massachusetts Institute of Technology
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Posting Description POSTDOCTORAL ASSOCIATE, Center for Biomedical Innovation, supports an ARPA-H program developing a platform for continuous manufacturing of extracellular vehicles (EVs). EVs
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function. This role involves developing computational models, connectome analyses, and theoretical approaches using published and ongoing neuroscience datasets. The associates will collaborate with
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this technology on operators performing the job. Will be expected to design/implement the mechatronic interface, coordinate manufacturing of the tool, characterize the tool, design and implement the controller
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of turbulence with fast-ions, sawteeth, and MHD. Will participate in validation and integrated modeling efforts in the AUG program. Will be expected to make original research contributions to the AUG program
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, BIOMECHATRONICS, Program in Media Arts and Sciences, to develop the requirements for a closed-loop neuroprosthesis and investigate the effect in persons
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
experience in geochemical modelling. This is a full-time, two-year position, contingent upon funding, performance, and a successful renewal at the end of the first year. This position will be located at MIT
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Massachusetts Institute of Technology, Schwarzman College of Computing Position ID: Massachusetts Institute of Technology-Schwarzman College of Computing-POSTDOC [#30576] Position Title: Position
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: Cambridge, Massachusetts 02139, United States of America [map ] Subject Areas: Philosophy / Ethics , Ethics of Computing , Social and Political Philosophy Starting Date: 2026/07/01 Salary Range: $71,000
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performance. The pay range for this position is $71,000 - $90,000. Job Requirements: Required: a Ph.D. (expected or obtained) in statistics, engineering, computer science, mathematics, economics, operations
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management and planning skills; strong problem-solving and organizational skills; strong computer experience with Microsoft Office suite; and experience with or willingness to learn new laboratory management