226 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at ETH Zurich in Switzerland
Sort by
Refine Your Search
-
at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
-
is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
-
Supporting experimental documentation and basic data organization Training will be provided for biological sample preparation and experimental procedures. Profile Background in electrical engineering, sensors
-
Computer Science, Biomedical Engineering, Data Science, Cognitive Science, or a related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series
-
Architecture and Geohistorical Practice, led by Assist. Prof. Aisling O’Carroll, is engaged in research and teaching activities on the Master of Science in Landscape Architecture (MScLA) program. The Chair
-
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
-
analysis tools for researchers Profile Degree in data science, computer science, Earth or atmospheric sciences, or a related field Knowledge of satellite data and remote sensing Experience with very large
-
bioinformatician Support the training of Institute of Microbiology members in bioinformatics and computational biology through individual consultations and the organisation of training sessions (e.g. workshops
-
fields, and Gaussian Splatting). Profile Degree in Computer Science or a related field, with several years of professional experience as a software engineer Strong proficiency in Python and C#, and
-
operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational