672 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" Fellowship positions in United States
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archaeological research and education in Old World prehistory, offers postdoctoral research fellowships. Eligible candidates must be attending a field program in Old World prehistory, and preference will be given
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer science
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out research in RNA biology and novel reverse transcriptase, with RNA-seq, diagnostic, and genome engineering applications Responsibilities Conduct independent research in RNA biology, RNA analysis, and
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for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Unit Software
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our environmental monitoring of the region. The development of this project is associated with the 2018 consensus report by the Ocean Studies Board of the National Academies of Sciences, Engineering
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Fellows receive a $1,500–$2,400 stipend per week (depending on program, seniority, and remote/in-person status; equivalent UK/EU amounts) and work closely with LawAI staff at our Cambridge, UK office. We
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member who serves as a mentor for the postdoctoral appointee. Additional Department Summary: The Department of Metallurgical and Materials Engineering at The University of Alabama is a seeking candidate
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Details Title Postdoctoral Fellow in Psychology School Faculty of Arts and Sciences Department/Area Psychology Position Description Research on Theory-of-Mind, Pragmatics, and ‘Scripted’ Behavior
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cancer patients. The lab employs cutting-edge technologies (immunopeptidomics, T cell engineering, single-cell transcriptomics, spatial transcriptomics, CRISPR technologies) paired with in vivo animal