Sort by
Refine Your Search
-
-dimensional biological datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental scientists to translate computational findings into biological insight
-
metadata and access standards to support data discovery and reproducibility. Working closely with researchers and developers from C2SM, ETH, and CSCS, the successful candidate will help operate and advance
-
of statistical seismology and machine learning. This position is part of two EU-funded projects: GeoTwins , which focuses on creating digital twins for geothermal systems, and Earth-AID, which aims to develop
-
datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep
-
years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems
-
dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
-
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
-
. Our well-equipped Makerspace provides access to a wide range of tools and equipment for prototyping. To help projects grow beyond the idea stage, we also offer co-working, ideation, and event spaces, as
-
. Our well-equipped Makerspace provides access to a wide range of tools and equipment for prototyping. To help projects grow beyond the idea stage, we also offer co-working, ideation, and event spaces, as
-
convective heat transfer with the surrounding air. Within our research group at ETH Zurich, we are developing computational workflows for predicting temperature fields in machine tools using computational