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100%, Zurich, fixed-term The Biomedical Data Science Lab (BMDS Lab) at the Department of Health Sciences and Technology, ETH Zurich, is seeking a highly motivated PhD candidate to join our
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100%, Zurich, fixed-term If you are intruigued by study of past climate, enjoy having your hands on samples in the lab and generating new geochemical data, and are a quantitative thinker, you might
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the genomics data, and study the fate and impact of bioaerosol. Bioaerosol, including airborne bacteria, viruses, fungi, and fragments of these organisms pose risks to human. Emerging hazardous components
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this role, you will design and implement AI architectures that combine industrial data, domain knowledge, and modern language models. You will collaborate with leading Swiss industrial partners and focus
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reliable ground truth data for developing automated condition indicators from GPR measurements. Job description Support in planning and preparation of the experimental campaign (test track configuration
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relevant information from the papers. Our research group is dedicated to investigating human cognition and learning processes. We conduct theory-driven research about how people learn and how to develop
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postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
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processing (experimental planning, setup, measurements, analysis) Conceptualization and realization of novel setups (hardware integration, optical setups, etc.) Software development (data acquisition and
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming