Sort by
Refine Your Search
-
. The GRACE mission has transformed the way we can monitor surface mass changes in the Earth system. By applying machine learning methods to terrestrial water storage anomalies derived from GRACE data, we aim
-
university You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits chevron_right
-
assessment methods for steel components, experimental investigation of selected condition assessment methods, and evaluation of their suitability on obtained salvaged steel elements; Developing a computational
-
transfer, and experimental design to develop materials – and scalable methods for their fabrication – that not only substantially outperform conventional sensible heat-based thermal energy storage media but
-
100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science, engineering, and technology. The position is embedded in the Computational Biology (CoBi) group
-
. Project background The MAS MTEC programme at ETH Zurich is undergoing a transition, and we are seeking an Admissions and Recruitment Manager to support us during this pivotal phase. Our goal is to enhance
-
for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
-
computational methods, artificial intelligence (AI), and extended reality (XR). Design++ fosters cross-departmental research, education, and industry collaboration to drive transformative change in the built
-
(applicants completing their studies before June 2025 will also be considered) Master in Computer Science, Applied Mathematics, Remote Sensing, Geomatics or related. Experience with deep learning framework (e.g
-
of Riccardo Catena at Chalmers University. The overall goal of the project is to develop, numerically implement, and apply a theoretical framework to accurately describe the expected dark matter-induced