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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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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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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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, 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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Families (DCF), the Program for Specialized Treatment Early in Psychosis (STEP) now has built a statewide Learning Health System, called the STEP Learning Collaborative. STEP is the Hub for a network of
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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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of spinal fluid and other tissue samples Basic statistical analyses If desired, candidate will learn additional techniques in immunology and/ or molecular biology Mentoring: The candidate will be mentored by
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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