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(BBB) dysfunction and edema in brain cancer, a major source of morbidity in the disease. Using radiomics, single-cell, and spatial omics, the project integrates imaging and molecular data to better
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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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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studies (e.g., EELS, EDS) to probe defect structures and dynamics Apply advanced image processing and analysis; develop AI/ML workflows for quantitative defect characterization Implement high-throughput and
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a team More specifically: - For mission 1: knowledge of signal and image processing, machine learning (PyTorch or TensorFlow + NumPy/SciPy), statistical processing & data and results visualisation
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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quantification of microbial Infections of Plant tissues”. This project aims to understand how root nodules are colonized by rhizobia using X-ray tomography and advanced image analyses. The postdoctoral candidate
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internal state and environmental structure shape their functional operation. To address these questions, we use an observational and causal approach, combining monitoring and decoding of neural activity with
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motility apparatus through single molecule fluorescence imaging approaches. Underpinning genetic and biochemical experiments will also be required. The project will build on our recent work in this area
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property analysis, sorting, and grading. Contribute to the TIMBERHAUS project by applying advanced image processing and AI methods for timber quality assessment. Integrate experimental data with