2,846 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Washington
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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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can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . For more information on the Sibley Lab, please visit https://sites.wustl.edu/sibleylab . Trains under the supervision of a faculty
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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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, 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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amenities including a new kitchen and dining area for patients, staff and visitors. Learn more about the Center for Behavioral Health and Learning at: https://facilities.uw.edu/projects/recently-completed
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benefits that may be available at: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/UWP-Benefits-Summary-for-recruitingef-edits-v3.pdf Responsibilities: The successful candidate will be
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. For practitioners holding an appointment in the UW Physicians (UWP) practice plan, see the link for additional benefits that may be available: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/UWP-Benefits
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found at https://postdoc.wustl.edu/prospective-postdocs-2/ . For information on the Schwartz lab, please visit https://djschwartzlab.wustl.edu/ . Trains under the supervision of a faculty mentor including
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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
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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