220 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at ETH Zurich
Sort by
Refine Your Search
-
60%-80%, Zurich, fixed-term The Laboratory of Ecosystems and Landscape Evolution (ELE) and the Genome Engineering and Measurement Lab (GEML) at ETH Zurich are seeking a laboratory technician to join
-
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
-
, engineering, physics, or a related field, and with strong interest in the cryosphere. The successful candidate has experience in computational data analysis or numerical modelling. You are eager to work
-
. Profile Hardware Realization: Translate abstract architectural requirements into functional ViViD-AFM V2.0 mechatronic hardware. Precision Engineering: Design and implement sub-nanometer control systems and
-
100%, Zurich, fixed-term The Membrane and Interfacial Science Lab in the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zürich designs materials and processes that enable more
-
university and in developing research and teaching partnerships with computer science faculty and researchers. We are also interested in candidates who value engaging publicly on topics of the ethical, social
-
100%, Basel, fixed-term The highly competitive Bio-Engineering Systems for Therapeutics (BEST) postdoc program, part of the Next-gen Bioengineers initiative, is run jointly by ETH Zurich and Roche
-
Supporting experimental documentation and basic data organization Training will be provided for biological sample preparation and experimental procedures. Profile Background in electrical engineering, sensors
-
-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
-
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