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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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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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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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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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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
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prevention, and digital health. The Goldberg lab uses sensor-based technology including Apple Watches and iPhones to conduct fitness and cognitive tests in older adults. Funding support comes from multi-year
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algorithms and models to multimodal data (unstructured and structured text, knowledge graph, etc) Design and conduct experiments to test hypotheses with applied statistics Analyze and interpret results
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. His expertise includes: Developing novel deep learning and machine learning algorithms for biomedical and health applications. Applying responsible AI principles to ensure privacy-aware and