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areas Coordinates the activities of the DGE team to represent CU-wide and campus-specific meta data in data cataloging tool Partners with campus DG enablement teams to represent campus-specific metadata
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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Bioinformatician at the intermediate or senior level. The Breuss laboratory is focused on employing and developing statistical machine learning, bioinformatic algorithms, and related approaches for the detection
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solutions to maximize recruitment and retention Serve as a resource and participate in study initiation and close out duties All ranks: Mark retinal images to develop AI algorithms for image biomarkers
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peer-reviewed journals. The Research Scientist works with large-scale datasets, conducts experiments to validate hypotheses, and refines algorithms for efficiency, scalability, and interpretability
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Responsibilities: Research (75%) Investigate literatures to identify existing solutions and the problem Develop and apply state-of-the-art natural language processing algorithms and models to multimodal data
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to build end-to-end diagnostic pipelines. Dynamic Imaging Analysis: Develop and optimize algorithms for time-resolved imaging data, including cardiac cine MRI and dynamic contrast-enhanced series