Sort by
Refine Your Search
-
energy system models that incorporate a stronger Social Sciences and Humanities (SSH) perspective. By embedding societal dynamics, such models aim to capture a wider range of future uncertainties and
-
. Empa is a research institution of the ETH Domain. The Empa Laboratory of Cellulose & Wood Materials invites applications for a PhD student position on bio-based materials for advanced wound healing
-
The research group of Distributed Ledger Technology and Fintech (Prof. Fabian Schär) of the Faculty of Business and Economics at the University of Basel invites applications for a PhD position with a 60% appointment. Research Group The research group is dedicated to researching practical issues...
-
xenon flash lamp. Over the last years, we have successfully applied FLA to crystallize thin films of TCOs (In2O3, In-Zn-Ga-O), refractory ceramics (Al2O3), and Li-based cathodes (LCO, LMO). Within
-
. Empa is a research institution of the ETH Domain. At Empa’s Centre for X-ray Analytics, we investigate bio-nano assemblies from lipid nanoparticles (LNPs) to polymer-based nanosystems using powerful
-
project (Decarbonization of Heating and Cooling), we are seeking a motivated and qualified PhD candidate to design integrated district heating and cooling systems. Future thermal networks based on renewable
-
. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
-
their subsequent simultaneous analysis. This project aims at overcoming these challenges to reliably measure atmospheric levels of PFASs and model their respective emission strengths in Switzerland
-
the esophagus with relevance to eosinophilic esophagitis. The research project will involve patient-derived samples, including organoids and air-liquid interface cultures, and experimental esophagitis models
-
. The acquired and already existing database will be used to further develop ML models for the automated detection of clinically relevant markers. The goal is to develop the technique towards potential clinical