Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
-
successfully obtaining external funding, and will develop and deliver a modern teaching curriculum in molecular and/or cell biology at both the undergraduate and graduate level. Teaching in German at early
-
on infectious disease dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within
-
100%, Zurich, fixed-term In the newly established Brain-Body Regulation Lab at ETH Zurich (Department of Health Sciences and Technology), we focus on developing non-invasive (self-regulation
-
experiments to gain a better quantitative understanding of the disorder and to develop intelligent mechatronic shunt systems. In line with our values , ETH Zurich encourages an inclusive culture. We promote
-
." This project aims to develop data-driven tools to assess supply chain vulnerabilities for critical medicines, using pharmaceutical Bills of Materials (BOMs), trade flows, and production data. The work is part of
-
sciences and digital technologies, is an emerging subfield that we wish to develop as an academic discipline in the Lake Geneva region. Areas of interest include collecting Patient-Reported Experience and
-
base funding as well as external research grants. You will monitor and forecast budgets, process invoices, manage credit cards, and prepare financial reports and coordinate audits. You will coordinate
-
Intelligence in Mechanics and Manufacturing (AIMM) at ETH Zurich, is offering a position in the field of data-driven optimization. Project background Our research focuses on the development and application
-
dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within and between-host level (1 ,2