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Field
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-disciplinary team of AI scientists, oncologists, and informaticians. We are especially interested in candidates with experience in LLM architecture (e.g., GPT, T5), prompt engineering, RLHF, or model deployment
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Reliability Engineering in Deployment Architectures, Software Engineering Methods for Performance Engineering, Software Engineering Methods for Reliability Engineering, Continuous Delivery/Deployment (CI/CD
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. Positions are available in the following Faculties/Schools/Departments/Laboratories: - Department of Architecture - Department of Real Estate and Construction - Department of Urban Planning and Design
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an exciting, emerging topic. The position will focus on integration and device fabrication based on combinations of 2D materials and freestanding complex oxides, aiming at discovering, engineering and unlocking
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 days ago
University of British Columbia, Quantum Science and Technology Laboratory Position ID: University of British Columbia -Quantum Science and Technology Laboratory -PDF [#30330] Position Title
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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to integrate geological data and observations with biostratigraphy, geochemistry, engineering, geophysics, and data science subdisciplines to assist in reservoir characterization. The Postdoc is expected
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education. Specifically, the tasks are: Design, implement and validate a tool to collect and analyze learning demands of learners. Design, implement and validate a modular software architecture that can
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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior
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curious to deliver work that matters, your journey starts here! The Biomedical Engineering (BME) Department at Carnegie Mellon University is renowned for its interdisciplinary approach to solving complex