2,918 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Washington in United States
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/hr night shift $4.00/hr weekends $3.00/hr evening shift $1.00/hr BSN Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift
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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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. An ideal candidate will be curious and ready to learn. This role is well-suited for those interested in a gap year(s) where they will be spending time in a research lab acquiring new skills while preparing
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: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/ Shift: First Shift (United States of America) Temporary or Regular
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Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/ Shift: First Shift (United
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on Plasmodium vivax, an understudied malaria parasite species. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https
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St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Assists with grant preparation and
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Service, please visit https://perinatalbehavioralhealth.wustl.edu . To learn more about the Hermann Center for Child and Family Development, please visit https://hermanncenter.wustl.edu . Provides
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and funding opportunities. Visit us at https://grad.uw.edu/ to learn more. Compensation, Benefits and Position Details Pay Range Minimum: $121,200.00 annual Pay Range Maximum: $126,000.00 annual Other
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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