91 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at ETH Zurich
Sort by
Refine Your Search
-
desire of getting a glimpse into rigorous applied research. Prior experience in handling and analysing data using statistical software packages such as STATA and/or R is desired and a strong interest and
-
considered. Further information about the professorship can be found on our website . Questions regarding the position should be directed to Prof. David Kammer by email dkammer@ethz.ch (no applications). We
-
(LLE), and diffusion coefficients—key data for designing and optimizing chemical processes. Because conventional experiments are often time- and resource-intensive, particularly for multicomponent
-
that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. For further information, please, contact Prof
-
data (what type and where; and what your role was) Diplomas Copy of your MSc thesis (or term paper if the thesis is not yet submitted) Summary of your MSc thesis (max. 1 page) 2 scientific references
-
component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
-
portal. Applications via email or postal services will not be considered. Candidates will be informed if their proposal is accepted for furhter consideration in January 2026. For information about the gta
-
animals. Across all three components, the project will involve high-resolution mass-spectrometry and complementary data streams to explore how exhaled metabolites reflect physiological status. Job
-
datasets and papers with open data and code that can serve as a basis for these exercises, then adapt these in jupyter notebooks (python or R) for student learning exercises. The Supervisor will advise
-
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