2,913 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Washington in United States
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evaluate curricula, address instructional needs, and ensure alignment with established learning outcomes. Evaluate, recommend, to program leadership, and operationalize ad hoc processes for evaluations
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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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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 regular position FTE (Full-Time Equivalent): 100.00% Union
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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 regular position FTE (Full-Time
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, Benefits and Position Details Pay Range Minimum: $28.00 hourly Pay Range Maximum: $40.06 hourly Other Compensation: - Benefits: For information about benefits for this position, visit https
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: 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 regular position FTE
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Compensation: Evening Shift Premium - $2.00/hour; Weekend Shift Premium - $2.50/hour Certification Premium - $1.50/hour Benefits: For information about benefits for this position, visit https
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Maximum: $150,000.00 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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to understand and convey complex policy, financial and scientific/technical information in a manner that is understandable to a wide audience. Ability to teach and mentor others in group settings, in one-on-one
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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