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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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guidance and robotics. Our work combines medical imaging, computer vision, and machine learning with strong clinical translation, in close collaboration with Balgrist University Hospital and the national
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and classical computer vision; Develop quantitative features, including color metrics (RGB/HSV/Lab), texture (GLCM, LBP), geometry, and other visual proxies for clinical assessment; and Build image
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intelligence (AI)-assisted image analysis for bioinformatics and medicine. The project is highly interdisciplinary, involving areas of microfluidics, fluidic mechanics, biomedical imaging, and machine learning
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artifacts. Experience with 3D image data analysis and 3D image visualization. Experience with machine learning or deep learning-based segmentation algorithms. Experience with statistical analysis to interpret
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Knowledge of medical imaging Good knowledge of image processing Good knowledge of signal processing Good knowledge of AI for medical imaging Ability to use computer programming tools Ability to use word
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and p er protocol. Evaluate MR scans for technical quality, collate processed images and sequence of acquisition and label appropriately. Schedule patients for procedures; assist with clerical functions
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ACTIVITIES IN THE RESEARCH AREA OF DEVELOPMENT OF AN ADVANCED PLATFORM FOR THE DIAGNOSIS AND TREATMENT OF NASAL OBSTRUCTION USING 3D MORPHOMETRY, FLUID MECHANICS AND MACHINE LEARNING AUTOMATIC. (C-059/25
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inline control system based on Machine learning and simulation models. Conduct experimental studies to validate robotic coordination algorithms, optimized processes, and printing performance. Collaborate
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of MAE machine shops as needed. Support for the MAE Research Machine Shop with projects and prototype fabrication may be required. Other duties may be assigned as necessary. Minimum Education Required