260 data-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions in Switzerland
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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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vision and its associated diseases, as well as to develop new therapies for vision loss. For more information, please visit iob.ch ! About the project For a project in the Human Retinal & Central Visual
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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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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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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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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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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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experimental scientists to guide study design and data interpretation Contributing to grant writing and shaping the lab's computational strategy Mentoring and advising PhD students and postdoctoral researchers
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Health (AICH) group develops AI/ML methods, digital tools, and secure data pipelines to advance pediatric healthcare. We work at the intersection of clinical medicine, machine learning, and data-intensive