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for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a joint project, please describe your specific contributions. Briefly
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Artificial Intelligence (AI) related fields
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support for clinical laboratory applications, pathology systems, laboratory analyzers and diagnostic devices, anatomical pathology whole slide imaging scanners, and tissue slide stainers. Under limited
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the Document Imaging Management System. Prepare technical and functional specifications; implement user interfaces through coding, integration, testing, debugging, and postproduction support. Develop and
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or prototype. Improves the development capability of their team by enhancing development/prototype tools, testing or validation, and/or code structure. Contributes to code/prototype specifications and
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minimizing computational and energy costs. The proposed approaches will rely on machine learning methods applied to image analysis, with the objective of enabling early identification of at risk areas and
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” prompt, please withdraw your application, and re-apply to upload your combined documents as one file. The Declaration of Applicant Form is located on this website: https://www.uttua.org/departments/human
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diagnostic devices, anatomical pathology whole slide imaging scanners, and tissue slide stainers. Under limited direction, this position is responsible for analysis, architecture, design, implementation
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staff position within a Research Infrastructure? No Offer Description Implement algorithms for generating and evaluating synthetic data in Medical Imaging (Task T2.3) or Attribute Recognition in Images
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Radiology - MRI Full Time 88236BR Job Summary The Department of Radiology is a 24-hour, seven day a week operation providing imaging services for adult and pediatric inpatients and outpatients