44 computational-linguistics Postdoctoral positions at The Ohio State University in United States
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Biomedical Informatics
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Program Department: Medicine | Pathology Post Doctoral Scholar position in the laboratory of Hiroki Taniguchi Ph.D. Research focus is on understanding the molecular, cellular, and circuit mechanisms
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and Portuguese. The group is involved in several research projects, including the study of language and identity, language and migration, and language and gender. The Post Doctoral Scholar will take a
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quality of life for adults with hearing loss. This position is ideal for candidates with interests in auditory cognition, aging and hearing, linguistic processing, or CI rehabilitation. The postdoc will
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| School Biomed Sci - Biomedical Informatics Position Summary Join a research environment at the forefront of AI, cancer immunology, and precision medicine. The Ohio State University’s Department
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| Mechanical and Aerospace Engineering Perform basic research in computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects. Emphasis to be placed
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with Dr. Robinson on a research program on Traditional Governance in Africa, which is funded by the Mershon Center. The project evaluates how the history, institutional structures, and political
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of prior post-doctoral experience, be highly motivated, and show good communication skills. Strong language and writing skills are important. Doctoral degree in Biological Sciences required; Requires
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: FAES | Horticulture and Crop Science We are seeking a highly motivated Postdoctoral Research Associate with a strong background in bioinformatics and computational biology to join Dr. Yu Ma’s laboratory
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in Dr. Shanlin Ke’s lab. The overarching goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and