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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
checks to spot errors, and generally preparing data for analysis; assisting with onboarding new staff and maintaining project documentation; and assisting with literature reviews, new and renewal
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7 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mathematical Sciences Research Field Mathematics Researcher Profile First
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16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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of flexible hydropower operation on potential internal erosion processes in embankment dams. The research will involve experimental investigations, data analysis, and possible field work, in collaboration with
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the
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fieldwork with diverse actors, from cultural and creative sectors to policymakers and informal communities. Information This PhD position is part of the Horizon Europe project UnEXTRA ("Uncovering a new
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study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board
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of railway tracks on bridges, using Dutch railway infrastructure as a primary case study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed