Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
for decentralized and distributed data-driven methods for Federated Learning on resource-constrained networks. Your research within the project will contribute towards your doctoral degree at ETH Zurich. You will be
-
work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data. Your profile MSc in Materials Science or Mechanical
-
university near Zurich. You have an interest in law or policy diffusion, privacy law, and international comparative law. Knowledge of privacy / data protection law is highly desirable. You have excellent
-
application of deep learning models. Experience with data pipelines following FAIR principles, with skills in compressed sensing, image noise reduction and big data management, cloud computing, high performance
-
focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
-
seamless data transfer between the office and the construction site, with a focus on visualization, visual analytics, explainable ML/AI or Large Language Models. Integrated and continuous information
-
, textual, and temporal data for management applications. Recently awarded several major grants, our center is at the forefront of bridging sophisticated AI research with practical business applications. The
-
23.07.2025 | Facility Services Specialist in library and information sciences 80%-100%, Zurich, fixed-term 23.07.2025 | ETH-Bibliothek Postdoc in