303 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs 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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, military branch, conflict counselling). Experience in data entry and working in emergencies and fast pace, stressful environment. Some experience with computer systems, including Microsoft Office (Word
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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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statements Up to three scientific contributions (not required) Three letters of reference Application materials, including the letters of reference, are due February 3, 2026 at 3:00 pm ET. Learn more and apply
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basic science to its effective translation for preventing or alleviating disease. Candidates for this joint appointment should have research interests focused in computational immunology/AI/Machine
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for learning and growth, you can shape a career path that is right for you while also enjoying all the benefits and stability of working for a world-class institution. This includes work-life balance with
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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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, 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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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