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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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educational programs, we are now seeking a postdoctoral researcher to work on the development of adaptive interventions to promote life-long learning. The position is full-time for three years, 1 september
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through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name -- RICE -- Responsibility, Integrity, Community and Excellence. Position
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, performing experiments with students and postdocs, analysis of imaging and electrophysiology data, contribution to scientific publications. Please submit your application online at https://apply.ista.ac.at
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biochemistry with optical tweezers, fluorescence imaging, or biophysical readouts. Scientific Environment and Mentorship As an early member of the Shukla Lab, the postdoctoral scholar will have the opportunity
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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for quality and proper format. Makes notation when images are to be repeated, and the proper technical factors needed for correction. Provides patient education prior to, during, and subsequent to the procedure
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microscopy techniques (e.g., spinning-disk confocal microscopy, light-sheet microscopy) analysis of large imaging datasets using advanced image processing and segmentation methods computational and statistical
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ambition to advance methodologies and strengthen a life-long perspective, focusing on multidimensional assessments (including 3D motion analysis, muscle imaging, and/or other instrumented methods
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and conduct complex in vivo and ex vivo experiments focused on fibroblast biology, ECM remodeling, and tissue mechanics using advanced mouse models. Apply histological, imaging, and molecular approaches