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and Model Input Generation – - Use deep learning and statistical approaches to extract meaningful features from tissue images and molecular assays. - Generate structured representations suitable
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field and three years of experience. Preferred: Experience building and maintaining ML/AI pipelines for multimodal biomedical data Proficiency in Python and deep learning frameworks such as PyTorch
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for Learning’s mission is to improve the quality of teaching, learning, and childcare. We research, develop, and scale educational innovations for adults and children that put all learners on trajectories
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, computer science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM field. Prior working experience with EHR data, machine learning, deep learning
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developer and will be expected either to bring or to develop a deep understanding of the Salesforce architecture in order to understand and produce code that aligns with the platform and how our specific
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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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Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a
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on the use of new Lyapunov-based deep learning methods. Such development includes: ideation, mathematical development, Lyapunov-based analysis, executing simulations and experiments, and disseminating research
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. ● Demonstrated success in developing and implementing innovative learning technologies and data-driven solutions. ● Deep understanding of data management, analytics, and visualization techniques, as
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. ● Demonstrated success in developing and implementing innovative learning technologies and data-driven solutions. ● Deep understanding of data management, analytics, and visualization techniques, as