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Field
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data with clinical, cognitive, imaging, genetic, and biomarker measures across longitudinal cohorts. This includes participation in biospecimen-based research and efforts to harmonize tissue and
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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the electrochemical process in operando conditions. We have already realized a first, operational prototype of the solid/liquid cell (Capone et al., J. Synchrotron Rad. 2024, 31, 1505). This research project will be
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experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals. Your research qualities are in line with the faculty and university research policies . You
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advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging
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metal matrix composite (MMC) coatings. You will help fill critical knowledge gaps in process monitoring, optimisation, and control for laser cladding, contributing directly to the development of a cost
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conjunction with cell culture, molecular biology and imaging modalities to investigate the cells and vessels of this pathway. The McDonnell lab culture is open and emphasizes collaborative science with high
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user groups to incorporate scattering datasets into multimodal AI frameworks combining experimental measurements and simulations. Contribute to the development of automated data processing and analysis
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to in vivo calcium imaging studies characterising modality-specific sensory encoding and applying neuroanatomical tracing and activity-dependent genetic labelling to map central connectivity of carotid