17 machine-learning-"https:"-"https:"-"https:" "Computer Vision Center" Postdoctoral positions at Yale University
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include: Biomedical sensing and physiological monitoring Edge intelligence and energy-efficient machine learning hardware Radar and wireless signal processing and communications The successful candidate
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multimodal data analysis is preferred; experience with R, machine learning, or advanced statistics is a plus. Training and Research Environment: The successful candidate will receive interdisciplinary training
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. Position Overview The successful candidate will develop and apply advanced computational and machine learning methods to large-scale genomic, clinical, and imaging datasets, working across one or more of the
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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
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-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi-modal (omics, biosensor data, vision, electronic health data
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epidemiologic and statistical methods, including causal inference approaches, machine learning techniques, and high-dimensional data integration methods. Prepare first-authored manuscripts, abstracts, progress
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principles of neurogenesis. Successful candidates will join a growing research program with opportunities to shape new projects, learn and develop innovative approaches, and pursue their scientific interests
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mechanistic investigation to uncover fundamental principles of ribosome biology. Successful candidates will join a growing research program with opportunities to shape new projects, learn and develop innovative
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teach one undergraduate course for majors in East Asian studies. Proposals with single region or transregional emphasis on China, Japan, and/or Korea are welcome. Application Instructions To apply, please
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Correction Circuits Design of parametric processes and quantum control of driven non-linear quantum devices Quantum computer architecture, hardware- and noise-aware compilers Computation with Dynamic Circuits