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between August 15 and September 1, 2026; one-year appointment About the Department The research arm of Yale Department of Radiology and Biomedical Imaging conducts computational image analysis and machine
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
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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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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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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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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery