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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis
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Received General direction from the assigned supervisor. Supervision Given None. Required Education Doctoral degree from an accredited University (based on funding restrictions degree may need to have been
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experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as
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at the Harvard T.H. Chan School of Public Health studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global
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experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as
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part of the U.S. Food and Drug Administration (FDA), CDER regulates over-the-counter and prescription drugs, including biological therapeutics and generic drugs. This effort covers more than just
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 20 hours ago
generic drugs. These efforts cover more than just medicines. Research Project: This project supports the Office of Pharmaceutical Quality (OPQ) Assignment Tool initiative by improving data validation and
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We are looking for an experienced researcher with expertise in the generation and analysis of quantitative education data to work in the Observatory for Mathematical Education ; a collaboration
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Espen Eidum 30th September 2026 Languages English English English Faculty of Engineering Science and Technology PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks Apply
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Espen Eidum 8th October 2026 Languages English English English Faculty of Engineering Sciences and Technology PhD Fellow in Distributed Acoustic Sensing for Arctic Railway Infrastructure Monitoring