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and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary Assist in
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University of California, San Francisco | San Francisco, California | United States | about 15 hours ago
, problem-solving ability, and high comfort level with learning new technology/systems Basic computer/keyboarding skills Prior experience with electronic systems/records Demonstrated ability to work in a fast
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, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
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using machine learning; Interpretation of soil profiles and moisture maps. Development and validation of digital tools: Support in building georeferenced web interfaces for data visualization
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of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college
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, United States of America [map ] Subject Area: Formal Methods and Machine Learning for Mathematics Appl Deadline: none (posted 2025/10/03) Position Description: Apply Position Description The Institute for Computer-Aided
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machines, and related design processes. Students will receive hands-on training on all technologies to ensure they can effectively support patrons and maintain equipment. Required Attachments (No Self
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data. Building on these results and codebases, the successful candidate will work on a bioinformatics and machine learning research project on the inference of alternative splice forms using deep
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setup, teaching and tear-down of laboratories in professional degree program. Will teach DVM students and communicate with faculty and other staff regarding the delivery of laboratory curriculum and
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-time Professional Writing Instructors to teach sections WRT 205 Spring 2026. Multiple sections may be available; teaching load for new instructors may be anywhere from 1 to 4 sections per semester