• Postdoctoral Scholar - Research Associate

    University of Southern California (Los Angeles, CA)
    …two Postdoctoral Scholar - Research Associates at the intersection of artificial intelligence (AI), mechanistic modeling, and quantitative systems pharmacology ... drug delivery systems. Led by Dr. Prashant Dogra, a computational medicine scientist with expertise in mechanistic modeling and quantitative pharmacology, the lab is… more
    University of Southern California (11/19/25)
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  • Quantitative Sciences Unit: Open Rank Faculty…

    Stanford University (Stanford, CA)
    …of specialization may include -- but not limited to - clinical trials, artificial intelligence and machine learning, predictive modeling, causal inference, study ... complex problems that may require novel study design; creativity in analyzing data using large databases; developing predictive models in high dimensions. The major… more
    Stanford University (11/06/25)
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  • Intern, Ecommerce Machine Learning

    Autodesk (San Francisco, CA)
    …recommendations - at just the right moment. In this role, you'll wear both the data scientist and software engineer hats. You'll not only design and experiment ... The Ecommerce Machine Learning Team is a group of data scientists, machine learning engineers, and experimentation experts with...date in 2026 or 2027 + Academic focus in Artificial Intelligence / Machine Learning or a… more
    Autodesk (10/21/25)
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  • Postdoctoral Fellow - Regulatory Language…

    Genentech (South San Francisco, CA)
    …opportunity to contribute to cutting-edge research at the intersection of artificial intelligence and regulatory genomics, developing and applying ... specialized AI agents collaborate to solve complex genomic challenges, including data analysis, hypothesis generation, and experimental design optimization. We seek… more
    Genentech (09/19/25)
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  • Senior Research Engineer - Autonomous Vehicles

    NVIDIA (Santa Clara, CA)
    …Research team at NVIDIA with strong expertise in software engineering and in artificial intelligence topics, such as deep learning, reinforcement learning, and ... model training and fine-tuning on massive datasets; + Implement scalable data loaders and preprocessors tailored for multimodal datasets, including videos, text,… more
    NVIDIA (10/08/25)
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