172 computational-physics "https:" "https:" "https:" "https:" "INRAE" uni jobs at ETH Zurich
Sort by
Refine Your Search
-
, computers, whiteboards, ideation tools, and custom-designed furniture. We currently have two locations: a five-storey house near the ETH main building, and one on the Hönggerberg campus. We share our open
-
in one of the most inspiring spaces at ETH Zürich - surrounded by 3D printers, computers, whiteboards, ideation tools and custom-designed furniture. We currently have two locations: a five-storey house
-
single-cell and next-generation sequencing techniques as well as human and murine in vivo and in vitro studies and combine these with genome-wide computational and bioinformatic analysis. With strong
-
using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
-
policy, political economy, economics, sociology, computational social sciences, or a related field Strong knowledge of advanced quantitative methods is essential (e.g., econometrics, causal inference
-
communities, land managers, and fire professionals with knowledge and skills now before the threat becomes acute across the continent. FiRES aims to assist this process by learning from people’s embodied
-
Curious? So are we. We look forward to receiving your online application with the following documents: CV full transcripts from undergraduate studies (both Bachelor and Master) a brief (1-page) motivation letter at least 2 names of referees (with email addresses and phone numbers) Please note...
-
Quantum Engineering (EQE) Group 100%, Zurich, fixed-term 12.02.2026 | AMO physics, Quantum optics, Quantum simulation, Quantum computation Technician / Engineer 80%-100
-
by April 1, 2026: Applicants are notified about the outcome of the application process. Further information about our institute can be found on our website . Questions regarding the position should be
-
, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models