Sort by
Refine Your Search
-
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
-
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
-
, 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
-
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
-
. Education and scholarly development The postdoctoral associate will receive structured education in computer vision applications in medical imaging, machine learning, research methodology, responsible conduct
-
. 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
-
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
-
approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar
-
, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
-
-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