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work closely with Professor Platt, guide the group’s computational research, contribute to ongoing projects, and pursue independent research directions aligned with the laboratory’s goals. Project
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variation in individual animal genomes and at the population scale. Our groups apply state of the art technologies to sequence the genomes and transcriptomes of farm animals with long and short reads, and
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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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, the monitoring of living organisms is becoming increasingly critical in a variety of domains and this can be achieved with eDNA, allowing fast and cost-effective tracking of multiple species’ occupancy at multiple
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solutions. Job description As an integral part of the specialized resource pool, you will be managing multiple space research projects at ETH Zurich. Together with internal and external stakeholders
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of Medical Microbiology 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
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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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We are looking for candidates with one of the two profiles below, aligned with our lab’s main research branches. 1. Mathematical foundations of trustworthy ML - working on topics such as: (Robust
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; Tanna, Nature Protocols, 2020) that encodes transient cellular events into DNA and reads them out by sequencing. Computational challenges include detection of biological signals while applying Record-seq
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single-cell and next-generation sequencing techniques as well as human and murine in vivo and in vitro studies and combine these with genome-wide computational and bioinformatic analysis. With strong