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transitions. Specifically, this project will investigate the cellular changes occurring during cell development at high resolution by applying cutting-edge imaging technologies such as volumetric EM, cryo-ET
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biology and protein biochemistry techniques, confocal laser scanning microscopy, and live cell imaging with automated fluorescence microscopes are routinely used in the research group to investigate and
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models of endometrial and ovarian cancer and multidisciplinary approaches ranging from molecular biology and biochemistry to multiplexed kinetic live cell imaging and next-generation sequencing. Applicants
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high-performance computing resources support volumetric image rendering, large-dataset processing, and 3-D visualization at the scale whole-brain microscopy demands. The work is supported by multiple
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culture, protein work, microscopy) and relevant area(s) A strong interest in oncology, tumour biology, pancreatic cancer, cell biology, molecular mechanisms, imaging A willingness to work with animal models
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entitled “Imaging using Quantum Optical Coherence Tomography” Where to apply E-mail [email protected] Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Skills
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can provide valuable insight into a wide range of processes occurring within the built environment. Potential applications include structural health monitoring, occupancy detection, building operation
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characterization, quantitative image analysis, and assessment of treatment response. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships
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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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Assist in developing AI-based computational tools for analyzing biological images. Help implement machine learning, deep learning, computer vision, and image processing algorithms. Work closely with