16 postdoctoral-image-processing-in-computer-science Postdoctoral positions in computer-science
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- Carnegie Mellon University
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sensing, advanced image formation, and functional imaging methods. As a postdoctoral researcher, you will play a central role in this ambitious programme and act as a technological integrator across
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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, Electrical Engineering, Applied Physics, Computer Science, Medical Imaging, or a related field. Strong expertise in ultrasound imaging, signal processing, computational imaging, medical image reconstruction
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
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Computing and Mathematical Sciences Division - Postdoctoral Researcher: CryoSTEM Foundation Models Mohamed bin Zayed University of Artificial Intelligence Location Abu Dhabi, UAE Open Date Jul 14
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for aging populations. By combining expertise in wearable transducers, biomedical imaging, materials science, data analytics, and healthcare innovation, WITEC aims to design solutions that will improve
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– Affiliated Associate Professor of Computer Vision, MBZUAI & Associate Professor, Carnegie Mellon University. Dr. Xu directs a dynamic research laboratory focused on computational biology, bioimage informatics
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significant impact on the world around us. A postdoctoral position is available in the Department of Electrical and Computer Engineering at Carnegie Mellon University (Chamanzar Lab) on Ultrasound-assisted
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data and multimodal datasets combining imaging and molecular measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows