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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
IT EDW Operations Full Time 87012BR Job Summary The Machine Learning and Data engineer role will lead the development, implementation, and maintenance of data pipelines and infrastructure to support
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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are seeking a Senior Data Engineer with deep expertise in database design, optimization, and data access strategies to support our growing data science and machine learning initiatives within the Visualization
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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Supervisor: Professor Fernanda Duarte Start date: 1st October 2026 Applications are invited for a fully-funded DPhil studentship in Machine Learning Interatomic Potentials for Metal-Ligand
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Experiential Learning Analyst Apply now Job no: 553801 Work type: Staff Location: Los Angeles Categories: Unit 9 - CSUEU - Technical Support Services, Administrative, Probationary, Full Time Job
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Here at Brockenhurst College, we are looking to recruit a Learning Support Assistant on a permanent, annualised hours basis. In return, you will receive a salary of £24,617 - £24,834 per annum pro
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students
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: The College of Science and Engineering is seeking an enthusiastic and dedicated Lecturer in Applied Mathematics (Data Science and Machine Learning) to drive excellence in teaching and learning across our
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data