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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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research team to contribute to projects at the intersection of AI/ML, real-world data, and health outcomes. The Postdoctoral Researcher will play a key role in developing and applying cutting-edge methods
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Biology, Development, Molecular Biology, Genetics, Neuroscience, Evolutionary Biology or similar field
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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team includes collaborators from medicine, engineering, and psychology. We are committed to patient-centered science, rigorous methods, and high-impact discoveries. We are seeking a motivated
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equipment, research methods, or technologies. Collects, records, verifies, and assists in analyzing scientific data from experiments. The candidate is expected to independently make daily decisions, following
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of relevant experience. Diverse skills in data management, programming, and statistical methods; ability and experience working with a number of software packages (e.g., SAS, SPSS, Stata, Excel, and Access
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leadership, education, and research tracks within a Clinical Translational Science Institute (CTSI), formal mentorship programs, and supported opportunities for teaching and research. These faculty positions
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to inform institutional decision-making. About This Role: Develops data collection instruments for congenital heart research; develops and utilizes instruments and methods for the evaluation and quality
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purification, Western blot. • Modify existing and develop new methods to study the mechanisms of biological processes; modify existing and develop new guidelines for procedures. • Modify existing protocols