2,956 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at University of Washington
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Maximum: $66,000.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United
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hourly Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary
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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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employees: https://facilities.med.wustl.edu/Careers. Assists with all facilities-related operations at WashU Medicine. Operators monitor several different building automation software and three unique fire
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to create welcoming and respectful learning environments, and promote access, opportunity and justice for all. Compensation, Benefits and Position Details Pay Range Minimum: $45,288.00 annual Pay Range
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Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor
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websites: http://www.shaolab.org https://oncology.wustl.edu/people/faculty/Shao/Shao_Bio.html https://siteman.wustl.edu/research/center-for-genome-integrity/cgi-members/jieya-shao-phd/ Working Conditions
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: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: Night Shift (United States of America) Temporary or Regular? This is a regular position FTE
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available at: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/UWP-Benefits-Summary-for-recruitingef-edits-v3.pdf Job Duties and Responsibilities: 1. Work on a dedicated cardiothoracic inter
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data