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anomaly detection using advanced and optimized methods. • Literature review (image processing, deep learning, vision-language models, diffusion models, etc.). • Generative AI for creating reliable models
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RAP opportunity at National Institute of Standards and Technology NIST Enabling Science from Big Microscopy Image Data Location Information Technology Laboratory, Software and Systems Division
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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the field tests. Key Responsibilities: Development of AI and signal processing techniques for accurate tree root detection and imaging Enhancement of the existing GPR technology Performing measurements
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inflammation. This project involves nucleic acid chemistry, targeted contrast-agent engineering, in vitro validation, and in vivo imaging studies using clinical and research-grade ultrasound systems. Key
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of novel optical methods for nanoscale dimensional measurements using the NIST 193 nm Microscope: a newly upgraded, custom-built, world-class high-magnification optical imaging platform optimized
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Primary Purpose: We are seeking a highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on developing a novel ultrasound molecular imaging contrast agent
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, which can benefit a wide range of real-world applications. This Research Engineer will work with our team to conduct the research on development of AI models and algorithms for image processing
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are seeking an experienced Optical Systems Engineer to join our Electro-Optics and Electronics Division, located in Freeport, PA. This position will support our imaging and other electro-optical system
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school of Radiologic Technology or other imaging program. Experience: Minimum of two (2) years experience in 3D post processing as a CT Technologist Degrees, Licensure, and/or Certification Registry