211 systems-science-"https:"-"https:"-"https:"-"https:"-"IFM" positions at ETH Zurich
Sort by
Refine Your Search
-
, Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until
-
knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG is offering a position in the field of Industrial
-
concepts Support laboratory experiments and technology demonstrators Interface optical designs with mechanical, thermal, and control system constraints Support calibration, validation, verification, and test
-
The Control Theory and Systems Biology Laboratory at ETH Zürich (Prof. Mustafa Khammash) invites applications for one or more doctoral positions at the interface of control theory, stochastic
-
scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
-
and networking platform to support the development and application of Earth system, weather, and climate modeling, data infrastructure, and impact research. Project background There is an ever
-
to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. ETH Zurich is one of the world’s leading universities specialising in science and
-
ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct
-
100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
-
across spatial and temporal scales and their response to global changes. GEML is a knowledge and technology Hub aimed at syncing the scientific community with rapidly evolving genome engineering methods