199 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at ETH Zurich in Switzerland
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considered. Short-listed candidates will be asked to supply three letters from academic recommenders and three writing samples. Further information about the Institute for the History and Theory
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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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climate-neutral future . Curious? So are we. We look forward to receiving your online application, which should include: A letter of motivation Your CV Contact information for two references
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laboratories and in data analysis. Prior experience in nanofabrication, nano- and meta-optics, optomechanics, vacuum technology, programming for experiment control is highly valued but not mandatory. Workplace
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100%, Zurich, fixed-term Are you a data-savvy innovator eager to tackle pressing challenges in livestock sustainability? The Animal Nutrition Group at ETH Zurich is hiring a talented Postdoctoral
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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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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
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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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core part of your project will be interpreting the data and developing scientific hypotheses about the atmospheric processes that control the cycling of selenium and other trace elements. You will work
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, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models