82 structural-reliability-analysis Postdoctoral positions at The Ohio State University
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to clinical application. This position is designed as a career-development role: alongside conducting mechanistic research, the postdoctoral researcher will receive structured mentorship in grant writing
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, electrophysiology, live-cell microscopy, cryo-electron microscopy (cryo-EM) or cryo-electron tomography (cryo-ET), structural biology, quantitative image analysis, mouse models, or bioenergetics. Our laboratory
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dedicated research facility with state-of-the-art tools that allow research teams to investigate brain structure, function, and causal mechanisms with robust and innovative methodology. It has supported
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optimization of welding and AM consumables and structural alloys; prepares research results for technical reports to sponsors and for scholarly publications; prepares presentations on relevant research findings
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structure elucidation of small molecules with publication records. They will be responsible for performing the bioassay-guided isolations and structure elucidation of secondary metabolites form plant extracts
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of molecular biology and engineering methods to understand how metabolic spatial structure affects cancer progression, using specialized microfluidic chambers. The postdoc will analyze and present data
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, and for alloy development and compositional optimization of welding and AM consumables and structural alloys; prepares research results for technical reports to sponsors and for scholarly publications
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engineering and imaging science who is interested in developing expertise in brain imaging and neuroimaging research. This position is intended as a structured, mentored training appointment for a candidate
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Science and Technology The Department of Food Science and Technology seeks a Post Doctoral Scholar to conduct research examining the effects of dietary components on cardiac structure and function under
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. Research activities may include common- and rare-variant association studies, survival and longitudinal analysis, multi-state disease modeling, polygenic risk prediction, gene-environment interaction, cross