61 software-defined-network-phd Postdoctoral positions at The Ohio State University in United-States
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combining bibliometric data of coauthor publications to analyze networks of coauthors and their geographic locations. Then, the research team will present findings from both interviews and bibliometric
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State University College of Medicine and the Wexner Medical Center seek PhD Faculty to join the Department of Internal Medicine, Division of Medical Oncology. Academic rank and track commensurate with
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visualization. Preparing scientific reports and peer-reviewed publications. Presenting research findings at national and international conferences. Required Education: PhD in Engineering Desired Education: PhD in
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research focuses on improving the quality of life of patients with cancer and their care partners. CREST was founded by the OSUCCC – James, and is led by Jessica Merlin, MD, PhD. Position Summary We
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will work closely with clinical collaborators located throughout campus. The position includes a competitive salary and benefits through Ohio State. Job Requirements PhD in biomechanics, biomedical
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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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, agriculture-based net emissions technologies, such as uptake and storage by agricultural soils and bioenergy production, are recognized as important components of future emission pathways to limit global
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in bat biology is desired. Strong software skills designing custom neural network and other AI methods is desired. Additional Information: The College of Arts and Sciences is the largest college and
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Education Required PhD Desired Qualifications A doctorate degree in biological life sciences or biomedical sciences; a proven track record of publications; previous experience in more than one
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. Position Description: The Sen Lab invites applications for a postdoctoral research fellow position in cancer metabolism. Our research aims to define metabolic vulnerabilities in lung cancer and their impact