Sort by
Refine Your Search
-
microscopy, X-ray imaging, and light microscopy). It supports researchers across three compute scales: laptop-based prototyping (S-Gym), single-GPU workstations (M-Gym), and multi-node HPC at the National
-
benefits according to ETH regulations, and support for conference travel, computing and career development. Zurich consistently ranks among the world’s most liveable cities. chevron_right Working, teaching
-
-prevention antibody/nanobody program from discovery toward the clinic (start immediately or by arrangement). Your path: from fellowship to founding Over the 12 months you will drive the antibody program toward
-
interpretation in support of researchers at the FGCZ. Within that field, the team covers raw data processing, high-performance computing, statistical evaluation, interpretation, and integrated analysis. The unit
-
): materials discovery, advanced structural characterization, electronic materials, and quantum materials, 2D-materials and their applications in electronic and optoelectronics. The research programme at
-
and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related field. Strong foundations in machine learning and familiarity with
-
working as part of team Sound computer skills (MSOffice, SAP) Flair for solution-oriented, unbureaucratic approaches Workplace Workplace We offer Work-Life Balance Flexible working models (such as part-time
-
engineering, and theoretical electromagnetism. The project offers the opportunity to work closely with internationally recognized researchers while contributing to an ambitious research program at the forefront
-
The Binnig and Rohrer Nanotechnology Center (BRNC) at ETH Zurich is a state-of-the-art research facility providing advanced technology, infrastructure, and expertise for nanoscience and nanotechnology. Our operations team manages more than 1,000 m² of semiconductor cleanroom and laboratory space...
-
We are looking for a research assistant (with a workload of 20%) to join our ongoing research program on online discourse and how to improve it The primary responsibility lies with our data pipeline