Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
) 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
-
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
-
) 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
-
, creative formats and paid promotion. Create, schedule and publish engaging content tailored to target audiences, aligned with the Basel Institute's messaging and style. Monitor, analyse and report on
-
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
-
using laser-induced bubble generation to achieve precise, controlled BBB opening (BBBO) for targeted drug delivery. Our key objective is to develop a non-invasive, laser-based technique that safely and
-
), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
-
global biodiversity targets will require not only sound ecological knowledge but also an understanding how political, institutional, and socioeconomic structures and dynamics shape conservation and
-
lung and bladder barrier models (membrane-based organ-on-chip models) and for exposing those to bacteria and potential target drug compounds. A variety of analysis methods (fluorescence microscopy, mass
-
, 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