16 Computer-Science Postdoctoral positions at Harvard University in United-States in United States
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Details Title Postdoctoral Research Position in Computational Biology School Harvard T.H. Chan School of Public Health Department/Area MIPS/Environmental Health Position Description The Haber Lab in
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Details Title Postdoctoral position in Generative AI and High Performance Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area
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Details Title Postdoctoral Position in Microclimate Mapping using Sensor Networks and UAV-LiDAR Data School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology Position
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Details Title Postdoctoral Research Associate in Invertebrate Paleobiology and Evolution School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology Position Description
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24-Apr-2024 Harvard Medical School 65565BR Position Description The Klein lab at HMS develops and applies innovative experimental and computational high- throughput genomics tools across a wide
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Details Posted: 09-May-24 Location: Cambridge, Massachusetts Salary: Open Categories: Academic/Faculty Other - Academic/Faculty Internal Number: 13671 School: Faculty of Arts and Sciences Department
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Details Title Post Doctoral Fellow School Faculty of Arts and Sciences Department/Area Center for Hellenic Studies/Classics Position Description Center for Hellenic Studies, Washington D.C. In
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. Doctoral degree in Biostatistics, Statistics, Computer Science, or a related quantitative field. 2. Strong theoretical training in statistics or strong programing skills (R, Python, or C++) are desired. 3
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development of researchers who are transitioning from training environments in the physical, mathematical, computational sciences and/or engineering into postdoctoral work in the biological sciences, and who
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degree in Computer Science, Statistics, Biostatistics, or related field. Experience in analyzing real data, strong programming skills, and familiarity with statistical methods is preferred. Excellent