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methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based methods. As part of a
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, proficiency in standard molecular biology and biochemical techniques, experience with 3D image processing and modeling software for structural analysis (such as IMOD and UCSF Chimera). A strong background in
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Neural Plasticity and Neurorehabilitation Laboratory led by Dr. Sook-Lei Liew. These positions are funded by an NIH R01 grant focused on advancing research in neurorehabilitation, imaging analysis, and
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Proficiency with molecular techniques (e.g., RNA extraction, qPCR) and/or advanced imaging Strong quantitative/statistical skills. Excellent written and oral communication skills, with a demonstrated record of
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large animal models, lymphatic research, and MRI. The scholar will be supported by MR technologists (MRI studies), plastic surgeons (lymphatic surgery), radiologists (MRI studies and imaging evaluation
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, electrophysiology, imaging, genetic and whole-animal cardiovascular assays. This position represents an opportunity to work side-by-side with talented graduate students, postdocs, and specialists in a dynamic and
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: LastName_Cover Letter) Writing Sample 1 (file naming protocol: LastName_Sample1) Please submit 1 attachment containing the following information (for proper formatting, please refer to the sample image in
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human vagus nerve stimulation and functional effects across the body. Experience in processing and modeling imaging data with predictive models. Experience in grant writing and working with large grant
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Plasticity and Neurorehabilitation Laboratory led by Dr. Sook-Lei Liew. These positions are funded by an NIH R01 grant focused on advancing research in neurorehabilitation, imaging analysis, and brain-computer
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programming skills Preferred Qualifications Track record of top-tier machine learning publications Experience with machine learning on medical images Experience designing language model or vision–language model