2,928 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Washington
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the larger community. Participate in staff meetings, professional development, and quality improvement activities. Engage in professional learning and growth opportunities. Provide support in grant
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Position Details Pay Range Minimum: $39.25 hourly Pay Range Maximum: $52.30 hourly Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs
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mentoring, meetings, hands-on learning, and documentation Become familiar with research administration in an R1 university setting in order to streamline its supporting business processes Experience Required
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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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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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(Research Aide 1) this summer. The Harvey Lab (https://depts.washington.edu/bjhlab/ ) at the University of Washington is hiring up to 8 full time field assistants to work on research projects in forests
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instructors and students in summer enrichment courses and to create inclusive, engaging, and effective learning environments. This position is grounded in our core values: honor and sustain the multiplicity
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knowledge in immunology and proficiency in R and python. It would also be beneficial to have experience in high-performance computing environments, machine learning, git, whole-genome and exome sequencing
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roles. The Fowler lab is strongly committed to equity and diversity. We strive to empower all lab members to realize their potential by learning, acquiring skills and taking on new challenges