412 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at Nature Careers in United States
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diseases, using primary hematopoietic graft products and genetically modified products for sickle cell disease and CAR T-Cell therapy applications. The Human Applications Laboratory is composed of two
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to integrating computational simulation, data science, and deep learning technologies to deeply explore structure–property relationships in materials. Its goal is to drive the precise design and development of new
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collecting relevant data from 2D, 3D or 4D images. Perform computer automated analysis and quality control on large data sets. Liaise effectively with other groups at Janelia to manage multiple image analysis
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and services by utilizing the computerized scheduling system in an accurate, efficient manner. Maintains scheduling (clinic-specific) information and computer knowledge to ensure safe and effective
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, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis
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for developing and implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning
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immunology Experience with T cell engineering (CAR-T, TCR-T) and/or immunopeptidomics is preferred (but not required). At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and
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to integrating computational simulation, data science, and deep learning technologies to deeply explore structure–property relationships in materials. Its goal is to drive the precise design and development of new
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, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics
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, it is critical that pediatric hematology/oncology practitioners understand and learn how to incorporate recent exciting yet complex discoveries surrounding germline genomics into the daily management