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learning applied to biomedical images. Position Overview Prof. Tagare is seeking a full-time Postgraduate Research Associate for a 1-year training position focused on computational analysis and machine
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Duration: 1-year appointment with possibility of renewal for a 2nd year. About the Department Our research group works at the intersection of machine learning, medical imaging, biomedical engineering, and
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responsibility for individual experiments and animal care. I am also affiliated with the Craft Lab, which is part of the Department of Immunobiology, so there will be opportunities to learn from the many members
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role will help maintain and improve the systems that support recruitment, communications, applications, enrollment, learning access, completion, and ongoing engagement for Yale’s global non-degree
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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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stochastic methods. We particularly welcome research that advances computational methods, including the use of artificial intelligence and machine learning for discovery in applied mathematics and scientific
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methods. We particularly welcome research that advances computational methods, including the use of artificial intelligence and machine learning for discovery in applied mathematics and scientific computing
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Diseases. This is a full-time, paid position with insurance benefits, available for start July 1, 2026 Job Summary: Excellent opportunity to acquire clinical research skills working in the translational and
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before pursuing a PhD in a related field (e.g., development psychology, neuroscience, clinical psychology, HDFS). Education Additional learning opportunities include attending the weekly Child Study Center
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and deep learning methods for large-scale genomic, clinical, and imaging biobank data, with stable multi-year NIH support. The Zhi Laboratory has a sustained track record of methods development