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Field
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. Novel techniques, such as microscopy, fluorescence microscopy, and light-field imaging allow users to gather more useful information with higher levels of details than ever imagined. However, lots of
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ecosystems. They will combine their own field observations in the European Alps and the Arctic with a novel microclimatic dataset and a large Europe-wide database comprising re-surveys of historical vegetation
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available on site for the development of suitable radiotracers. One focus of the work is on the use and evaluation of large tomographic data sets to derive parameter data for reactive transport modeling
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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data from large scale DTU pilots Conduct pilot-scale CO2 capture experiments up to TRL7 Perform physical-chemical analysis of innovative solvents and gases The preferred candidate should have the
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-developing the principles (e.g. ethics) and methods for anonymising, processing and analysing sensitive data collected by a national charity’s 24/7 helpline for people experiencing or witnessing elder abuse
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engineering, clinical research, and AI-driven health monitoring. This project will explore large-scale maternal datasets—combining clinical cardiovascular assessments with wearable sensor data—to detect early
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Application deadline: 23 September 2025 Apply now Are you eager to advance research at the crossroads of geography, data, and AI? As a PhD candidate in the ERC-funded GeoTrAnsQData project at Utrecht
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Master’s degree in Data Science, Artificial Intelligence, Computational Linguistics, Computer Science. Has excellent academic writing and oral skills in English. Has experience with large language models
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create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a