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land- and sea-grant research university, located in Kingston, Rhode Island, a beautiful seaside community well connected by car, bus, and rail. URI is approximately 40 minutes from Providence, an hour
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math, biomedical engineering, physics, or related discipline. Proficiency in programming and data science tools (Python, R, C++, or equivalent). Strong statistical and machine learning background, with
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, bioinformatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, health artificial intelligence and machine learning, privacy technology, global health
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appropriate dissemination and presentation based on audience and situation. Uses prospecting tools such as screening and data modeling to provide analysis of overall prospect pools and targeted groups
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: Software Development Develop, optimize, and maintain software for AI research projects. Collaborate with researchers to implement state-of-the-art machine learning models. Work with large-scale datasets
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for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification Licensed
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models will then be developed by integrating radiomic features with clinical variables, including the KELIM score, mutational status (BRCA/HRD), and pathological parameters. Machine learning methods
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retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all
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informed machine learning methods and uninformed approaches and analysis of model explainability. - Machine and deep learning techniques and models: convolutional neural networks (CNNs), vision
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of an environment that stimulates continuous self-learning, positive group processes, reflective practice, and the empowerment of others. Models constructive and mutually respectful relationships with colleagues