264 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" positions in Switzerland
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to efficiently train on the large, densely-connected and graph-structured data encountered in our systems of interest. Your contributions would be across the spectrum from methodological development
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. The successful candidate will bridge biological, behavioral, and cultural data to understand the emergence of gendered power structures across taxa and ecological contexts. While strongly rooted in evolutionary
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maintain infrastructure and lab equipment (e.g. microtomes, automated stainers, and tissue processors). Track and manage samples and data with precision. Develop new protocols and methods. Implement quality
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100%, Zurich, fixed-term The Biomedical Data Science Lab (BDS Lab) at ETH Zurich is seeking a highly motivated Scientific Assistant to join our interdisciplinary research team working
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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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, you process collected data, prepare reports, and deliver results back to customers and internal teams - ensuring that every project is both professionally executed and well-documented. Further, you will
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. The project will address questions regarding inheritance flows, inter-vivos gifts, bequest motives and taxation. You will be involved in all stages of research, from cleaning data to carrying out data analyses
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60%-80%, Zurich, fixed-term Are you an ambitious data scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and data processing? We invite you to join
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), highly resolved (hourly‑scale) data on species presence, abundance, and movement patterns in rivers and streams. To address this gap, this project aims to realise the Riverine Organism Drift Imager (RODI
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and networking platform to support the development and application of Earth system, weather, and climate modeling, data infrastructure, and impact research. The position will involve close collaboration