Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Nature Careers
- University of Zurich
- Empa
- University of Geneva
- ;
- CERN
- EPFL
- EPFL FSB
- ETH ZURICH
- ETH Zürich
- Ecole Polytechnique Federale de Lausanne
- European Magnetism Association EMA
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Bern
- University of California
- 7 more »
- « less
-
Field
-
to the fundamental theoretical, technological and interdisciplinary development of disciplines related to dynamical systems and control and to strengthen the leading position of ETH Zurich and D-MAVT in this field
-
with our team of experienced scientists, postdocs and PhD students, you will develop materials that contribute to the development of the next generation of sustainable biocomposite materials. This project is
-
, potential toxicity and ubiquitous abundance in the environment. Understanding and evaluating their emission pathways is essential to plan and implement effective measures to reduce emission of PFASs. In
-
) energy system modelling. The role also includes tasks such as website design (including the development of dashboards) and management, designing and contributing to wikis, and supporting ongoing teaching
-
Development of Machine Learning for Molecular Applications – Molecular Machine Learning” (SPP 2363 ) and will involve tight collaboration with the group of Prof. Dr. Frank Glorius from the University of Münster
-
through the development of strategies for long-term data quality improvement and data curation, including persistent identifiers for organizations, researchers and funding Supporting the writing of reports
-
, robust event detection, and modeling shifts across sessions and users. Job description Develop machine learning pipelines for time series processing with a focus on event detection and real-time
-
structure of giant planets such as super-Earth, ice giants, and gas giants Ultimately, by combining all the knowledge from those research outcomes, the group wants to propose the universal internal evolution
-
healing. Developing innovative implants that can better integrate with the body, reduce complications, and improve patient outcomes is essential in addressing this urgent healthcare challenge. Though rooted
-
the state-of-the-art of model-based planning support for transport and urban systems under uncertainty. The doctorate will develop new tools and methods that integrate large-scale agent-based modelling