81 postdoc-computational-biomedical-engineering Postdoctoral research jobs at The Ohio State University
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Materials Science Engineering, Electrical and Computer Engineering or Physics Required Experience: Growth and characterization of thin films; Micro- and nano-fabrication; Magneto-transport Desired Experience
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departments, 17 centers, programs and institutes, and 7 basic science departments with a focus on biomedical informatics, immunology, microbiology, cell physiology, and pharmacology. In 2023, research funding
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to musculoskeletal imaging, assistive technology biomechanics, and oncology. The Post Doctoral Scholar will collaborate with clinicians in the James Cancer Hospital, the Assistive Technology Center, and Nationwide
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& Pharmacology Department: Medicine | School Biomedical Sciences Biological Chemistry and Pharmacology Post Doctoral Researcher to pursue education and experience in research under the supervision of designated
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should have demonstrated outstanding performance throughout their previous studies with their own publications. The successful candidate should hold a PhD in biomedical sciences with less than 3 years
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collaborate with Dr. Wells-Di Gregorio on manuscripts, grants, and presentations. Additional responsibilities will include data management and analyses, collaboration with biomedical labs, and teaching
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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 Department: Engineering
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: PhD in Engineering Desired Education: PhD in Materials Science Engineering, Electrical and Computer Engineering or Physics Required Experience: Growth and characterization of thin films; Micro- and
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with a major in mechanical engineering. Required Qualifications Expertise in the fields of turbulent flow dynamics, aeroacoustics, and computational methods; Strong written communication skills through
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of this research program—spanning basic mechanistic discoveries, application of high-throughput technologies, validation in cancer-relevant mouse models, and translation platforms—is to understand the fundamental