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Field
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and algorithms. Train, test, and optimize AI/ML models for production environments. Integrate AI/ML components into web-based and backend systems. Ensure security, scalability, and maintainability
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methods and frameworks tailored for health AI algorithms and their governance. Algorithm-Based Clinical Decision Support (ABCDS) Oversight is a flagship program of E&G. We manage a registry of all
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experiences through software on participant devices and provides privacy-preserving access to researchers who wish to study human and algorithmic behavior on the Internet. We are in the process of expanding
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algorithms. Train, test, and optimize AI/ML models for production environments. Integrate AI/ML components into web-based and backend systems. Ensure security, scalability, and maintainability of applications
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analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computed
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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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of interventions. (70%) Responsible for the development, implementation, and ongoing management of one or more ongoing clinical programs, including but not limited to: evidence-based clinical algorithms
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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of bioinformatics pipeline development, execution and debugging. Must have an understanding of AI/ML algorithms. Must have intermediate to advanced programing knowledge in R and Python programming languages
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ranging from introductory to more advanced topics such as: Introduction to Computer Science and Software Development Object Oriented Programming and Problem Solving Algorithms and Data Structures