51 electronics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at The Ohio State University
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treatments, and mechanical testing; characterizes microstructure using scanning electron microscopy (SEM), electron backscatter diffraction (EBSD), transmission microscopy (TEM/STEM), STEM-EELS, in-situ TEM
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-scale genomic, electronic health record, and longitudinal cohort data. The position emphasizes rigorous statistical methodology, reproducible computation, and clinically meaningful research questions
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) and to our clinical trial partners; coordinates and tracks collection of patient research samples; assists in collection of research data; performs data collection with electronic medical record chart
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| Electrical and Computer Engineering Position Description: Conducts advanced research and development in the Department of Electrical & Computer Engineering, with a primary focus on cathodoluminescence
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| Electrical and Computer Engineering Conducts advanced research and development in the Department of Electrical & Computer Engineering, with a primary focus on cathodoluminescence spectroscopy and the
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physical and electronic datasets. Key responsibilities include preparing high-quality peer-reviewed scientific manuscripts, drafting grant proposals, developing IACUC, IBC, and IRB protocols, and
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an interdisciplinary approach that integrates mitochondrial patch-clamp electrophysiology, advanced live-cell and label-free imaging, structural biology (cryo-electron tomography and cross-linking mass spectrometry
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(LHCb) physics program at the Large Hadron Collider (LHC). This group is actively participating in the design and realization of various hardware projects in support of the LHCb and electron ion proton
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describing research / outreach interests and fit with this position (2) curriculum vitae/resume (3) three references (contact only; no letters needed). Working Conditions: Sitting/staring at computer screens
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, a quantitative biological discipline, or a related field. Demonstrated research experience in machine learning or computer vision, evidenced by publications, preprints, or a public code record. Strong