138 parallel-processing-bioinformatics "https:" positions at ETH Zurich in Switzerland
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, molecular (DNA, RNA, protein) perturbation technologies, and functional genomics, and applies them to understand and treat disease. In support of these efforts, we are seeking a Bioinformatics Scientist to
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opportunities but requires robust biological protocols and stable bioelectronic interfaces. In parallel, biomolecules and their complexes can be probed and controlled using CMOS micro-/nano-electronics, enabling
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of mathematics, computer science, and evolutionary biology. We develop methods to understand evolutionary, ecological, epidemiological, and developmental processes on different scales based on genetic data. In our
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The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics
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The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics
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approaches including cloning, cell culture, cell imaging, behavioral testing, bioinformatics. The lab is composed of researchers, doctoral and postdoctoral students, and technical staff working in close
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therapies. Project background We are seeking a highly motivated Bioinformatics Scientist / Data Scientist to conduct multi-omics data analysis. This individual will play a key role in analyzing high
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computational workflows. In addition, the position supports institute-wide bioinformatics activities, including the management of data and shared computational infrastructure, enabling efficient and sustainable
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properties. In parallel, they continuously sense and respond to diverse mechanical cues from their environment, including adhesion, stiffness, tension, shear, pressure, and confinement. These cues
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computational workflows to design novel AAV capsids Dry-to-wet: lead the computational design process and actively participate in wet lab validation of your designs (e.g., library construction, viral production