2,871 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Washington
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conversations, embracing creativity, and recognizing that every challenge represents an opportunity to learn. We are a COMMUNITY who strive to create experiences for our stakeholders every single day. At our core
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for additional benefits that may be available at: https://faculty.uwmedicine.org/wp-content/uploads/2025/02/3.-UWP-Benefit-Summary-2025-0.50-FTE-or-Greater-with-UWP-Salary.pdf Qualifications Requirements
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. · Strong background in machine learning/AI and hands-on experience with large, heterogeneous datasets. · Practical experience with computer vision and/or spatio-temporal modeling (object detection
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of cardiovascular specialty and subspecialty areas. The UWMC CV APP Fellowship is an intense, highly structured, comprehensive program through which newly licensed APPs will acquire in depth cardiovascular knowledge
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clinical care in rural and international underserved settings. Conduct clinical, implementation, or public health research focused on global or rural health. Teach and supervise medical students and
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, Zoom. Work is suitable for 2-3 days per week remote work. We hope you will apply and please learn more about our department, values, and core competencies at https://uwsurgery.org/about/staff
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. Demonstrate positive leadership skills such as empathy, creativity and fairness. Regularly assign, instruct and check the work of staff and students. Establish priorities in daily work to be done in section
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, Zoom. Work is suitable for 2-3 days per week remote work We hope you will apply and please learn more about our department, values, and core competencies at https://uwsurgery.org/about/staff
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@MGI determines the functional impact of genetic variants (mutations) by engineering those variants into human cells. We use high content confocal microscopy and deep neural networks (machine learning
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statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and Bruchas, develop experimental methodologies related to two-photon imaging