205 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at ETH Zurich in Switzerland
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data, spanning from whole-genome variant calling and decision support to single-cell sequencing analysis. We develop and extend robust analysis workflows and reusable components, in close collaboration
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engaged in development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors
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data collectedfromtwo cattle breeds. Existing PacBio HiFi sequencing data will be complemented with ultra-long sequencing using ONT to build near complete assemblies for the sex chromosomes. This sub
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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
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stakeholders. Ensure that information is collected, structured, and communicated to effectively inform decision-making Frame funding instruments and initiatives (e.g., Turbo Grant , WP6 umbrella project, Boost
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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
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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
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observation, experimentation, and synthetic thinking, it enables students to imagine creative and sustainable solutions on the scale of the city and landscape. More information under : Job description We
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data analysis. In the Bioanalytics Group, a PhD student and a postdoctoral fellow will work together on different aspects of the microfluidic platform and sample preparation. Job description The
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In