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Field
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mathematical approaches, algorithms and software to advance scientific research in multiple disciplines, often in collaboration with other Flatiron Centers. CCM has particularly strong research groups in
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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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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
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artificial intelligence. You will work with a diverse group of faculty, postdocs, and students from multiple disciplines, including cognitive science, psychology, computer science, statistics and machine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
nutrition research. Our on-site facilities include multiple wet labs and clinical facilities as well as a vivarium and a metabolic chamber. Approximately two hours from UNC-Chapel Hill , the NRI is located
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
nutrition research. Our on-site facilities include multiple wet labs and clinical facilities as well as a vivarium and a metabolic chamber. Approximately two hours from UNC-Chapel Hill , the NRI is located
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manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes
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prioritize multiple tasks and projects in a fast-paced office environment, meeting deadlines and project requirements. Excellent verbal and written communication skills. Excellent project management and
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literature review, algorithm design, experiment design, model training, evaluation, and benchmarking. Work with and supervise undergraduate or graduate student assistants, guiding them in data collection