174 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" PhD positions in United States
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will assess immunological potency and other measures of RNA/LNP performance, in both cellular and in vivo contexts, to make decisions on RNA and LNP platforms Plan, lead and execute in cellulo and in
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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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scholarly activity in areas of interest. Scholarly activity is defined broadly and includes, for example, proteomics, LC-MS/MS-based approaches, data analysis and informatics for mass spectrometry-based data
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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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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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benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with
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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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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