204 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at ETH Zurich in Switzerland
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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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. 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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, 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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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) Workplace Workplace We offer
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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
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format): A 1-page cover letter describing your research experience, interests, and why you are interested in this position Curriculum vitae Contact information for at least two referees Academic
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strengthen host communities. You will work on a quantitative research project that contributes to this mission. The project uses large-scale click data from an online job platform and administrative data
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problems in scientific or engineering domains using proprietary/real data (beyond public benchmarks), where challenges like distributional generalization, multi-objective trade-offs, causality, privacy