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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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enrollment. To achieve this, the Specialist must proactively monitor marketing trends, forecasting and implementing emerging technologies and platforms—such as AI-driven digital marketing Answer Engine
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Archiving and Communication System (PACS), applicable image upload software, and computer equipment to import images from digital media to PACS. Troubleshoots images and collaborates with Imaging Department
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systems infrastructure. Position Summary Plans and performs upgrades to the imaging equipment and systems which may include MRI, CT, PET, FLUORO, mammography, digital X-ray, portable X-ray & fluoro, and
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, and maintain high-resolution 3D printing systems, including two-photon polymerization (2PP), extrusion-based printing, and digital light processing (DLP) platforms. ● Fabricate and characterize
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experience in specialized research areas such as digital health, big data, or translational biomarkers Desirable Application/ Interview Further Information Next steps in the recruitment process The date
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microscope startups Learn basic column alignment and digital camera software; TEM data acquisition; perform basic image processing. Execute standard protocols for fixation, dehydration, staining and resin
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comparable field. Interest in data processing, semantics/ontologies, modeling, or digital system architectures. Motivation for analytical and innovative thinking as well as structured scientific work
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systems for an implantable left ventricular assist device to treat heart failure patients. A broad understanding of the technical fields of electrical and electronic design is essential for this role
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. Ability to maintain quality while innovating. Mastery of Adobe Creative Cloud. Experience with cinematic camera operation. Deep understanding of AI tools for automated workflows. Ability to scale digital