24 bayesian-target positions at ETH Zurich

  • ETH Zurich | Switzerland | 24 days ago

    ) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software

  • ETH Zurich | Switzerland | about 23 hours ago

    the admission requirements for a PhD at ETH Zurich Experience in machine learning, optimization, or AI-driven decision-making Preferably with knowledge of Bayesian optimization or Gaussian processes

  • ETH Zurich | Switzerland | 24 days ago

    ) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software

  • ETH Zurich | Switzerland | 10 days ago

    recovery trajectories and injury patterns. Integrate personalized physiological measurements into a recovery prediction model, while adapting Bayesian Neural Networks for SCI data and analyzing the impact on

  • ETH Zurich | Switzerland | 2 months ago

    : Experience in machine learning, optimization, or AI-driven decision-making Preferably knowledge of Bayesian optimization or Gaussian processes Programming experience (Python, MATLAB, or similar) Soft Skills

  • ETH Zurich | Switzerland | about 23 hours ago

    ), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet

  • ETH Zurich | Switzerland | about 23 hours ago

    and innovative POM research with high relevance. We publish across engineering and management disciplines, targeting top conferences and journals. Emphasis is on top empirical research in collaboration

  • ETH Zurich | Switzerland | about 24 hours ago

    ) or neural network-based methods. The level of the targeted problems will  require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will

  • ETH Zurich | Switzerland | about 1 month ago

    , functional genomics, protein engineering, and targeted protein degradation. Project background High-throughput perturbation technologies rely on perturbing DNA or RNA to infer the function of proteins. Methods

  • ETH Zurich | Switzerland | about 23 hours ago

    to establish an innovative platform for peptide drug discovery. Project background Peptides are privileged modalities for the development of new therapeutic avenues. To address unexploited targets and offer

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