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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
breakthroughs or large-scale adoption events. The module will be validated on both historical datasets and scenario data generated by Integrated Assessment Models (IAMs), large climate-economic models used
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11 Nov 2025 Job Information Organisation/Company University of Innsbruck Department Faculty of Law Research Field Juridical sciences Researcher Profile First Stage Researcher (R1) Country Austria
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11 Nov 2025 Job Information Organisation/Company University of Innsbruck Department Faculty of Law Research Field Juridical sciences Researcher Profile First Stage Researcher (R1) Country Austria
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cardiovascular and respiratory diseases, cancer, and diabetes, many of which are linked to where people live and work. This research forms the foundation for large-scale initiatives like EMIR and ENACT, which aim
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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the elegant Georgian New Town, the beauty of Arthur’s seat and the fascinating Calton Hill; the vibrancy of the life, and the large and international student population; cultural events like the Fringe
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Process Mining? In this project we aim to transform the way we analyze and visualize complex processes. Information The field of process mining, a branch of business process management, revolves around
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large audience as possible. Unobtrusive sensor technologies could complement self-reported data and may reduce the sampling frequency of self-reports. The current project has three main aims, contributing
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systems Enhancing the biophysical capabilities of the C++ framework Applying the framework to morphogenetic questions using real imaging data Running large-scale simulations on ETH’s HPC infrastructure
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven