Sort by
Refine Your Search
-
the development of critical thinking, data analysis, problem-solving, and project management skills while contributing to the broader academic community through publications and presentations at leading conferences
-
job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society DARCH is ranked 4th in the global 2025 QS
-
architecture, urban design, arts, or another relevant discipline, PhD preferred Workplace Workplace We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development
-
are also part of an ongoing modelling framework development project at HPE, offering the opportunity to collaborate with other PhD candidates on various modelling aspects. In a third step, you will validate
-
The goal of this project is to continue the development of synthetic surrogates of common pathogens with comparable physicochemical properties, especially susceptibility towards alcohol disinfection
-
to conduct theoretical and experimental research in line with the TNU research agenda. In particular, the successful applicant is expected to focus on the development and validation of novel methods and
-
from material development, structural analysis with x-ray techniques, to digital modeling and simulation. The group also performs research on optoelectronics that are based on nanoparticles, offering
-
transitions, and climate adaptation—together offering a comprehensive lens on the challenges and potentials of present and future development of landscapes, territories, and settlements. The doctoral program
-
, deployments in the clouds or on our own servers. We’re now looking for a new team member to join our Software Development & IT team. Read on to find out if this could be the right fit for you! You’ll be working
-
advanced fluorescence/confocal imaging approaches to resolve biofilm network structure and eDNA conformation in situ. Contribute to the development of a numerical predictive model of biofilm mechanics