266 data-"https:"-"https:"-"https:"-"https:"-"University-of-Ostrava" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
information on NSM and its research and infrastructure can be found on our website . Questions regarding the position should be directed to Prof. Andrey Zheludev, email: zhelud@ethz.ch (no applications). Please
-
the following information as a single PDF: a statement of interest laying out your motivation for this position and your main scientific achievements to date (max. 2 pages) CV diplomas and course transcripts the
-
stage, nor is it intended to support doctoral dissertations. We also encourage small interdisciplinary teams of up to three people to apply with a joint project. Please find more information here about
-
10th of April: Motivation letter (<1 page, German or English) CV (German or English) Listing of grades e.g. from My Studies Further information about our group can be found on our website . Please note
-
programs . Application Form & documents to upload You will first have to fill in the online application form . Requested information: your personal details your academic background the doctoral program you
-
analysis, as well as for data processing, integration, and interpretation. Current research directions include, for example, applying DIA-based strategies in large-scale studies, combining electron- and
-
Further information about the ETH FinsureTech Hub can be found on our Website . Questions regarding the position should be directed to Bastian Bergmann (bbergmann@ethz.ch), Executive Director, ETH
-
information about the ETH AI Center can be found on our website . Questions regarding the position should be directed to Mrs Ann-Lauriene Schumacher, email annlauriene.schumacher@ai.ethz.ch (no applications
-
these effects both require very high resolution and long time series of data, making it computationally expensive. By leveraging findings from recent km-scale modeling and exploiting high-resolution idealized
-
challenges. The work is conducted at the interface of mechanics, artificial intelligence, and computational science. The developed methods will be validated on benchmark problems and real-world data and