75 parallel-computing-numerical-methods Postdoctoral research jobs at The Ohio State University
Sort by
Refine Your Search
-
Biology & Genetics, where he is establishing an independent research program. Supported by generous start-up funding from OSU and an active NIH K99/R00 award, the Gao Lab provides a strong and stable
-
motivated individuals with a track record of success. Although experience in areas such as flow cytometry, immunohistochemistry, molecular biology, computational biology, and single-cell sequencing may be
-
cytometry, immunohistochemistry, molecular biology, computational biology, and single-cell sequencing may be helpful, the ability and interest to learn are paramount. Interested applicants should submit a
-
| Surgical Oncology Job Description The Ohio State University Comprehensive Cancer Center (OSUCCC) – James is the only cancer program in the United States featuring a National Cancer Institute (NCI)-designated
-
. The Post doctoral scholar will play a key role in building and supporting this new research program. The position involves performing a wide range of laboratory experiments, assisting in establishing and
-
| Electrical and Computer Engineering Participates in electronic materials and device research on wide bandgap semiconductor materials and devices based on Silicon Carbide, emphasizing applications in future
-
-Term Position Summary: The Postdoctoral Scholar will support research activities within the Emerging Infectious Disease Ecology Laboratory (TEIDEL), focusing on projects in plant pathology, computational
-
Doctoral Scholar will embark on a program of independent research with the primary goal of determining how to harness abundant enzyme frameworks for challenging organic transformations. Duties will include
-
to biological and chemical hazards; requires successful completion of EHS safety training; frequently sits at a computer or microscope; frequently stands to perform bench work; occasionally lifts objects up to 20
-
graduate studies and/or post-graduate employment is required. The ideal candidate will have a solid background in quantitative methods, with particular emphasis on spatial data analysis, landscape ecology