Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on
-
POM journals (for example, JOM, POM, M&SOM, Management Science, IJPR, IEEE TEM, CII, JMS, etc.). Part of the research will include co-supervision of doctoral students with joint opportunities
-
planned for up to 3 years. Workplace Workplace We offer Your career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive
-
Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
-
career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society. We are actively committed to a sustainable
-
grammars, representation learning, and natural language processing. Workplace Workplace We offer The post-doctoral position is fully funded with a competitive salary. You will be part of a highly motivated
-
learning, and a keen interest in real-world applications, we encourage you to apply and be part of this exciting journey. Project background Manufacturing process optimization is a critical challenge in the
-
company in Zurich. Your tasks Your tasks will include the design of testing equipment required to imitate the working mechanism of an industrial application. A significant part of this will be
-
) Country Switzerland Application Deadline 14 May 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 41 Is the job funded through the EU Research Framework Programme? Not funded
-
Detectors The position is part of the project Accurate Modeling of Dark Matter – Electron Interactions in Liquid Xenon and Argon, a Swiss National Science Foundation collaborative project with the group