207 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at ETH Zurich
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Academic transcripts A short statement of motivation and research interests Contact information for three references Please note that we exclusively accept applications submitted through our online
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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
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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, 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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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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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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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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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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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