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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 16 days ago
Phd/doctoral Tuebingen, Germany Apply by Nov 02, 2026 Max Planck ETH Center for Learning Systems Max Planck Institute for Intelligent Systems 72076 Tuebingen Germany Keyboard shortcuts Map data ©2026
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approaches to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing
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Department of Molecular Sciences at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. For more information about the department, please visit our website: https://www.slu.se
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areas such as AI. In DKU's interdisciplinary curriculum, philosophy and science productively intersect in a number of areas, including: philosophy of science, data science ethics, and AI ethics
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Evaluate and analyse data to understand the measured air composition Improve ozone pollution predictions using total reactivity measurements Publish your results in international journals and present them
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering
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materials that underpin device operation (see https://doi.org/10.1016/j.joule.2023.03.002 for a recent example of this approach from the group). This project will be carried out in collaboration with the
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starting date on or after 01. October 2026. Project background Dynamic covalent hydrogels (DCHs)—polymer networks cross-linked by reversible covalent bonds, such as boronate esters, hydrazones, imines, or
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synthesize PEG- and hyaluronic acid-based DCHs cross-linked via dynamic covalent chemistries (boronate ester, hydrazone, imine, and disulfide bonds), spanning a broad range of moduli (0.1–100 kPa) and
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Qualifications Ph.D. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and