34 software-defined-network-postdoc Postdoctoral positions at The Ohio State University
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and creation that mimic the superorganic tradition to which past folklorists had misguidedly assigned sole agency. How should folklorists shift their thinking in this emerging world? For this postdoc
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folklorists shift their thinking in this emerging world? For this postdoc fellowship, we seek a scholar with training in folklore theory and methods whose research focus lies in digitally mediated folklore
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generation in low-dimensional and quantum materials. 2) Conducting experimental research on attosecond dynamics in solids. In addition to these two primary activities, the postdoc can also
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‐crease their publication record during postdoc and launch an independent research career. Final candidates are subject to successful completion of a background check. A drug screen or physical may be
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in computational biology or related area. Demonstrated experience in computational research. Desired: Research interest in environmental microbiology and/or microbial ecology. Strong software skills
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purification, structure determination and interpretation, and applying structural insights to guide antibody optimization and immunogen design. The postdoc will collaborate closely with researchers in immunology
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of the Department of Astronomy, including participation in department activities and supervision of research projects by students and postdocs. 4. Provide service to the department, college, and university as
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emulation software for FPGA-based electronics. • Experience contributing to data taking of large experiments. Additional Information: Application Instructions Applications should include: • A curriculum
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engineering, with applications in energy systems and other natural and engineered networks. Additional Information: Hiring Salary: $61,800 Application materials should include: - Cover letter outlining your
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| Ophthalmology We are seeking a Postdoc with strong bioinformatics / Statistical Genetics skills to join us. Our mission is to advance the understanding of the genetic architecture of complex human diseases and