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providing funding to support women in preparing research manuscripts for publication. Grants are open to applicants in all fields of study, though those engaged in science, technology, engineering, and math
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We are seeking a creative and highly motivated Research Assistant/Associate to join Dr Somenath Bakshi's research group in the Department of Engineering. The project will investigate how bacterial
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A position exists, for a Research Assistant/Associate in the Department of Engineering, University of Cambridge, to work on multiple cross-disciplinary projects within the context of sustainable and
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We are seeking a creative and highly motivated Research Assistant/Associate to join Dr Somenath Bakshi's research group in the Department of Engineering. The project aims to develop quantitative
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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imprint lithography. The candidate will be based in the Department of engineering working in Prof Michael De Volder's group (http://www.nanomanufacturing.eng.cam.ac.uk/ ), and will collaborate closely with
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-Aug-26 Location: Cambridge, Massachusetts Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff/Administrative Internal Number: 25916 PREDOCTORAL RESEARCHER, Economics (5 positions), to join the...
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description PREDOCTORAL RESEARCHER, Economics (5 positions), to join the research team of Professor Amy Finkelstein. Responsibilities include working with data sets, cleaning and running checks to spot errors, and generally preparing data for analysis; assisting with onboarding new staff...
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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or PhD students. The successful applicant will hold a PhD, or be near completion of a PhD, in Materials Science, Physics, Electrical Engineering or a related area. They will be able to demonstrate skills