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learning methods for medical image analysis, with a particular focus in anomaly detection and unsupervised learning. In this position, you will have the chance to explore basic machine learning research as
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At the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, we turn the latest scientific findings into technical innovations, and in doing so contribute to shaping
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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experiments. Conduct experiments related to deepfake detection and computer vision. Prepare, preprocess, and analyze image and video datasets. Train and evaluate deep learning models using performance metrics
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Student Type Work-Study Status Non-Exempt Background Check Required Yes For Best Consideration Date Position Summary Organization: Museum of the American Military Family & Learning Center Location:201
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reconstruction, data inference and fusion using classical and physics-informed machine learning approaches to advance time-resolved morphological and tissue property imaging of the heart The work will involve
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sitting at a computer workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Physical AI, Probabilistic Models
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microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties