182 data-"https:"-"https:"-"https:"-"https:"-"IMT---Atlantique" positions at ETH Zurich
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(LLE), and diffusion coefficients—key data for designing and optimizing chemical processes. Because conventional experiments are often time- and resource-intensive, particularly for multicomponent
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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
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-prone Mediterranean, and the Alps, to the growing risk of wildfire in northern Europe. An online survey has provided a baseline of data, and in-person interviews has generated a rich body of in-depth
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well as administrative-technical units of ETH in finding, setting up and using the right tools / technologies for their work. Tasks include developing data processing pipelines or scientific web applications, improving
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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
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. 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 Institute and
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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
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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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
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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