17 computational-materials Postdoctoral positions at Massachusetts Institute of Technology
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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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fields; proficiency in evaluating the effectiveness of learning materials; strong track record of working both independently and collaboratively; be organized, able to lead multiple projects simultaneously
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to supervise, train, and support technicians, undergraduate students, and graduate students involved in the research program. Salary Range: $71,000 to $90,000 NOTE: LNS pays postdocs a specific set rate based on
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, material science, biology, chemistry, or related scientific field; a minimum of five years of experience working in a large research laboratory; strong technical and scientific writing skills; experience
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
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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: The postdoctoral researcher is expected to supervise, train, and support technicians, as well as undergraduate and graduate students involved in the research program. Salary Range: $71,000 to $90,000 NOTE: LNS pays
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program and also work collaboratively with students and other members of the MKI community. People from underrepresented backgrounds are encouraged to apply. Applicants are asked to submit a cover letter
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apparatuses, free space and fiber optics, precision interferometry, quantum optics, analog and digital controls, low noise electronics, simulation and modeling, finite element modeling, and computer programming
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experiments; and interact broadly with research groups at MIT, CFS and the broader fusion community. Job Requirements REQUIRED: A PhD in plasma physics or related area; exceptional computational workflow
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design theory that facilitates multi-objective, multi-disciplinary optimization of data center design considering location, building operations, materials, energy use, water use, cooling system design, and