239 engineering-computation-"https:"-"https:"-"https:"-"https:" uni jobs in Switzerland
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Moor's lab email: michael.moor@bsse.ethz.ch (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
-
, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
-
to commercial-grade systems, we are seeking a visionary Lead Mechatronics Engineer to drive the design and development of the V2.0 system in tandem with the Lead Architect. This role is part of a strategic hire
-
technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university
-
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
-
atmospheric/environmental sciences, physics, computational science, engineering or a related field A background in numerical modelling, statistical data analysis and/or programming skills is highly encouraged
-
agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
-
* ETH Zurich – Where the Future Begins! As one of the leading international universities for technology and the natural sciences, ETH Zurich is well-known for its excellent education, ground
-
technical independence from previous versions, establishing a fresh patent portfolio for V2.0. Technical Coordination: Work in a tandem with the Lead Mechatronics Engineer to synchronize hardware development
-
apply bioinformatics and statistical genomics approaches to characterize trait-associated sequence variation. We offer two PhD positions at the interface of computational and statistical genomics, and