Sort by
Refine Your Search
-
membrane and encapsulation strategies from academia to industry. Solution-based processes like electrospinning and microfluidic wet spinning produce membranes, fibers and particles for applications including
-
. Empa is a research institution of the ETH Domain. In our research group, we transfer membrane and encapsulation strategies from academia to industry. Solution-based processes like electrospinning and
-
-PDF), data analysis and modelling for partially crystalline material systems Developing lab-based X-ray multimodalities: X-ray diffraction & imaging presentation of scientific results through
-
modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
-
. The aim of the project is to extend cycle life by the controlled release of active lithium. Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop
-
. Postdoc position on self-healing strategies for lithium-ion batteries Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop electrochemical protocols
-
interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
-
thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation
-
responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
-
, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement