Sort by
Refine Your Search
-
mutual agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen
-
the data. Job description This PhD project focuses on developing learning-based strategies for accelerated data acquisition, physics-informed image reconstruction, and quantitative inference
-
gas emissions, accelerate the delivery of the Green Deal and establish an environmentally sustainable access to space. It’s the ambition of SLICE to generate desperately needed novel results, which will
-
improvement in efficiency through parallelization, near-sensor processing, and heterogeneous architectures with specialized accelerators. Working, teaching and research at ETH Zurich We value diversity and