128 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Yale University
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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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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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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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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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biology, genomics, bioinformatics, and machine learning. About the Lab The Reilly Lab develops and applies cutting-edge genomic technologies to study human disease and evolution. Current research areas
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will develop statistical and machine-learning approaches for integrating AIRR-seq with single-cell RNA-seq, paired BCR/TCR data, genomics, immune phenotyping, germline variation, and clinical
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, depending on experience. The successful candidate will develop statistical and machine-learning approaches for integrating AIRR-seq with single-cell RNA-seq, paired BCR/TCR data, genomics, immune phenotyping
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management. Demonstrated ability to prioritize and multitask in a fast-paced environment. 5. Advanced computer skills, including proficiency with Microsoft Word, Excel, PowerPoint and Outlook, and the ability