19 data-"https:" "https:" Postdoctoral positions at Massachusetts Institute of Technology
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experiments to understand and improve tool performance, and – most importantly – by summarizing findings in white papers and application notes. A full job description can be found here: https://mitnano.mit.edu
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Millholland (https://sarahmillholland.com/ ) and conduct research on exoplanet demographics, dynamics, formation, and evolution. The appointment is for two years, with the possibility of extension to a third
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significantly to several experimental programs planned at these facilities. The position also includes participation in experimental campaigns and the analysis of resulting data. Principal Duties and
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extragalactic astrophysics. The successful candidate will join the research group of Professor Anna-Christina Eilers (http://www.mit.edu/~eilers/ ), which investigates the evolution of galaxies, quasars, and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
(FEDER) FIRE collaborative, targeting the creation and implementation of a scalable data infrastructure for fusion energy research; work in the Disruptions group (https://disruptions.mit.edu/) and focus
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controls, low noise electronics, simulation and modeling, finite element modeling, and computer programming. The start date of appointment will be Spring 2026, though there is some room for flexibility
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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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, string theory, astroparticle physics, phenomenology, quantum information theory, and research connecting high energy physics, condensed matter physics, mathematics, and other related areas. Apply
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(FEDER) FIRE collaborative, targeting the creation and implementation of a scalable data infrastructure for fusion energy research; work in the Disruptions group (https://disruptions.mit.edu/) and focus
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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