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Field
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responsibilities will include: Prepare biological samples for TEM, including fixation, staining, sectioning, embedding, and mounting. Perform TEM imaging and support data acquisition and basic image analysis
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flying on top of thunderclouds in the Gulf of Mexico and is currently scheduled for summer 2028. Through this project, our group is building an innovative airborne gamma-ray imager, capable of localizing
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Integrated Circuits or Automation. Background in computational optics, inverse scattering algorithms, label-free quantitative tomography algorithms, optical simulations, image analysis or machine learning
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(e.g. Pydantic, JSON Schema) is advantageous experience with data visualization, image analysis and segmentation methods, machine learning pipelines, or workflow orchestration frameworks (especially
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postdoctoral fellows to perform cutting-edge research in AI for radiation therapy. Research areas include developing and implementing AI techniques for image-guided radiation therapy, such as image
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). Execute molecular biology workflows (PCR/qPCR, cloning, library prep coordination) and coordinate NGS with core facilities. Perform immunostaining and fluorescent imaging, apply quantitative image analysis
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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, contribute to the design and analysis of intervention studies including randomised controlled trials, and translate complex findings into outputs that inform clinical practice and prevention strategies
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(MATHEMATIC MODELING OF MACROMOLECULAR ASSEMBLY) Key Responsibilities: Utilizing advanced techniques such as single-molecule imaging and super-resolution imaging Conducting quantitative protein biochemistry
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to Prof. Chen-Ting Liao (Liao3[at]IU.edu) Additional Qualifications • Strong hands-on experience with lasers, optics, and imaging/spectroscopy systems. • Experience with data analysis using Matlab, Python