1,333 machine-learning-phd "https:" positions

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  • University of Luxembourg | Esches, Picardie | France | about 1 month ago

    precisely: PhD degree in computer science, machine learning, computational biology, or a closely related field Strong research track record demonstrated by publications in international venues in machine

  • Harvard University | Cambridge, Massachusetts | United States | about 5 hours ago

    real-world problems. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or

  • Harvard University | Cambridge, Massachusetts | United States | 18 days ago

    -world problems. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading

  • Aalborg Universitet | Aalborg, Region Nordjylland | Denmark | 22 days ago

    , sensing, machine learning, and robotics. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a

  • Mathjobs.org | 23 days ago

    flows, scientific machine learning, optimization, inverse problems, or data assimilation, who have the potential to supervise PhD and master's student research with ability to contribute to curriculum

  • University of New Mexico | Albuquerque, New Mexico | United States | about 4 hours ago

    flows, scientific machine learning, optimization, inverse problems, or data assimilation, who have the potential to supervise PhD and master's student research with ability to contribute to curriculum

  • Linköping University | Linköping, Östergötland | Sweden | about 2 hours ago

    Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments  The postdoctoral researcher will develop machine

  • University of New Mexico | Albuquerque, New Mexico | United States | about 6 hours ago

    central to modern Data Science, such as statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning

  • University of Basel | Basel, Kanton Basel-Stadt | Switzerland | 15 days ago

    approaches for drug design by combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038

  • Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 24 days ago

    efficient simulation, digital twins, optimization, and control. In this PhD project, you will develop a new systems and control theory for learned operators, bridging modern scientific machine learning

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