2,767 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at University of Washington in United States
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/hour Night premium - $5.00/hour Weekend premium (Fridays and Saturdays) - $4.00/hour Sunday night premium - $3.00/hour Benefits: For information about benefits for this position, visit https
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Certification 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 or Regular? This is a
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for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: Alternate Work Shift (United States of America) Temporary or Regular? This is a regular position FTE (Full-Time
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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 or Regular
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Position Details Pay Range Minimum: $48.49 hourly Pay Range Maximum: $75.90 hourly Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs
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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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@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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posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Communication, Computer Literacy, Electronic Medical Records (EMR), Epic Applications
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multiple projects in a deadline-driven environment Excellent written and verbal communication skills Aptitude for learning new skills and technologies to support the changing needs of programs. Demonstrated
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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