12 embedded-system-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" Postdoctoral positions at Massachusetts Institute of Technology in United States
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, Organization Management , Quantitative Research , Work, occupations, and organizations Qualitative Methods Appl Deadline: none (posted 2026/03/19 04:00 AM UnitedKingdomTime) Position Description: Apply Position
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
with neuromotor conditions; assist in designing and developing embedded systems for sensing, stimulation and closed-loop computation; assist in the recruitment and screening of patients with neuromotor
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
development of energy storage systems; experience with grid-scale deployment, power system impacts, or renewable energy integration; proficiency in techno-economic analysis and numerical modeling; and ability
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
uncertainty quantification. The position is supported by a NASA-funded project focused on probabilistic downscaling of global weather models using satellite remote sensing, generative AI models, and conformal
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Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering - The 77 Lab, for research on design of haptic interfaces and mechatronic systems. The broad goal of this 1-year project is to
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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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Job Requirements REQUIRED: PhD in engineering that includes domain-specific expertise in manufacturing, processes or systems preferred; teaching experience in higher education settings in STEM
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biological systems capable of autonomously performing useful tasks and elucidating design principles for engineering complex cellular and tissue phenotypes; design, build, and test mammalian synthetic gene
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free of adventitious agents (AAs) such as bacterial and fungal contaminants. Current AA detection methods require lengthy culture times and are not suitable for continuous manufacturing, where rapid
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focused on creating integrated biological systems capable of autonomously performing useful tasks and elucidating design principles for engineering complex cellular and tissue phenotypes. Will work closely