18 applied-linguistics-phd Postdoctoral positions at Harvard University in United States
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Qualifications PhD in Computational Science, Computer Science, Applied Mathematics, Engineering or Physics by the time the appointment begins. Additional Qualifications Applicants background may include studies in
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Qualifications ● A PhD in ecology, environmental science, remote sensing, or a related field by the time of appointment. ● Demonstrated experience in applying high-resolution remote sensing to animal
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Qualifications Applicants must have received the PhD or equivalent degree or show clear evidence of planned receipt of the degree by the beginning of employment. Additional Qualifications This postdoctoral
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date of hire with the possibility of extension. Basic Qualifications - PhD in immunology, stem cell biology, or a related field - 3+ years of research experience in immunology - 1 or more first-author
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with Dr. Danielle Braun. Applicants should have an interest in developing and applying novel and state-of-the-art statistical and data science methods in environmental health. Qualifications: Doctoral
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novel solutions. · PhD in Biostatistics, Statistics or Computer Science. · Experience in handling very large spatial datasets. · Experience in applied statistics and computational methods. · Knowledge
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facility in the Bauer Building at Harvard University and in close collaboration with the Melton lab. Basic Qualifications PhD degree in biology or closely related field. Additional Qualifications
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Details Title Postdoctoral Positions in the Biogeochemistry of Global Contaminants Research Group School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area
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. Strong commitment to laboratory safety Additional Qualifications Experience with immunoassays including flow cytometry, ELISAs, and preferably multiplexing technology like Luminex or MSD. Including
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the Department of Environmental Health at Harvard University has openings for highly motivated postdocs to develop and apply novel computational approaches for next generation sequencing data analysis