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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
! More Do not overlook the inclusion of Academic Europe in your application. Where to apply Website https://www.academiceurope.com/ads/doctoral-candidate-in-computer-vision-and-ma… Requirements Research
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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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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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problems in scientific or engineering domains using proprietary/real data (beyond public benchmarks), where challenges like distributional generalization, multi-objective trade-offs, causality, privacy
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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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multimodal data analysis, with an initial focus on neuroscience. To build this interdisciplinary platform, we invite applications for three PhD-level Research Specialists: Microscopy and Spatial
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-focused , contributing primarily to one of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce
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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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Computational Design Lab and work at the interface of computer vision, computer graphics, hardware, and extended reality. The project is part of ETHAR, a new research initiative at ETH Zürich with a unique focus