183 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "CMU Portugal Program FCT" PhD positions in United States
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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with CMS will
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of grades, please submit alternative documentation of your enrollment and progress in the degree program, as well as a written statement that you are unable to provide an official transcript of grades
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
gained as an undergraduate); strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant
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date. Additional Required Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields, or a relevant Master's Degree and required years of relevant experience. Strong
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projects using Orbitrap-Isotope Ratio Mass Spectrometry (Orbitrap-IRMS) and computational approaches to interrogate the intramolecular isotopic compositions of organic compounds from terrestrial
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Job Description Applications are invited for a full-time Research Assistant Professor position in Virginia Tech's Bradley Department of Electrical and Computer Engineering. The successful candidate
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods
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savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental
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to increase synergy and impact to the region and nation. The positions will concentrate on computational simulations and AI-driven tools, including materials discovery, design, property prediction, process
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion