196 data-"https:" "https:" "https:" "https:" "Lawrence Berkeley National Laboratory Physics" positions at ETH Zurich
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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, 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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. Isabel Z. Martínez and is based on rich administrative and survey data from Switzerland. The position offers the opportunity to gain insight into rigorous empirical research and to contribute actively
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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 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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persons Further information about Neurotechnology group can be found on our website : Questions regarding the position should be directed at ntjobs@ethz.ch (no applications). Please submit the application
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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
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approaches to partition existing forest flux data sets across Europe Identification of flux drivers and their temporal development to understand responses of forests to climate and extreme events Compilation