213 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at ETH Zurich
Sort by
Refine Your Search
-
This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is
-
one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge
-
, computers, whiteboards, ideation tools, and custom-designed furniture. We currently have two locations: a five-storey house near the ETH main building, and one on the Hönggerberg campus. We share our open
-
in one of the most inspiring spaces at ETH Zürich - surrounded by 3D printers, computers, whiteboards, ideation tools and custom-designed furniture. We currently have two locations: a five-storey house
-
Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer
-
80%-100%, Zurich, fixed-term At Veltist – a Wyss Zurich project – we are reshaping post-operative care through our platform technology Anastoseal, enabling the next generation of implantable
-
, comprising RDM experts, research software engineers, data scientists, etc. Profile This position requires PhD degree in data / computational science or related field such as physics, bioinformatics
-
using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
-
component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
-
-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable