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-institutional, NIH-funded research initiative within the Computational Microscopy Imaging Lab (CMIL) focused on integrating digital pathology, spatial omics, and clinical datasets into an AI-enabled modeling
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. Manage the digital archives of images and make images available electronically to users. Staining - Perform specialized techniques such as immunofluorescence and immunochemistry related to the processing
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disease modeling and intervention studies, medical image processing, metabolomics data analysis, survival analysis, causal inference, statistical methods of health surveys, high-dimensional inference
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and scripting • Experience with medical image (MRI, DWI, CT) processing using open-source programs such as Seg3d, Slicer, ANTS, or similar • Experience DSI Studio, MRTrix, or similar • Experience with
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communication with primary care providers, consulting services and other referring providers Assist in marketing the general surgery program to community physicians and managed care organizations Participate in
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. Manage the digital archives of images and make images available electronically to users. Staining - Perform specialized techniques such as immunofluorescence and immunochemistry related to the processing
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research methodology and grant development processes. Ability to work effectively both independently and as part of collaborative research teams. Excellent organizational and communication skills for program
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ensure the highest quality of education for medical staff. In coordination with general surgery, cardiology and interventional cardiology program directors deliver level appropriate didactic educational
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improvement Active research or scholarly output Experience in AI or Informatics, optimal but not required Special Instructions to Applicants: If you are interested in a rewarding position in a friendly, state
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knowledge and experience with the field of invertebrate paleontology and curatorial procedures in a modern museum, including standards of conservation, computer cataloging, and digital imaging. Experience