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Vacancies PhD position on Liveness from causality analysis Key takeaways Programs often suffer from liveness issues - they may get stuck or fail to make progress. How can we address this? Our
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. In this project, you will study how this impacts the anaerobic removal of methane. You will use state-of-the-art techniques for sampling and analysis (e.g. benthic lander incubations, synchrotron-based
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comparative analysis of XAI techniques in two key directions: their capacity to enhance the interpretability and usability of model outputs for non-technical stakeholders—partners, such as policy-makers
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role in the European legal framework for content moderation. However, the legal framework for trusted flaggers is still underexplored. This project provides a legal analysis of the role of trusted
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Centrum Wiskunde & Informatica (CWI) has a vacancy for a 4-year PhD position (m/f/x) on the subject of Reliable AI-powered Data Analysis in collaboration with the University of Amsterdam. Interested
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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
, and (3) to identify the stage of composition of a textual object and make this category an integrated part of the analysis of papyrus documents. PhD position: The PhD candidate will annotate and study
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. You will work on the project ‘Past, present and future global inland-water methane budget under the impact of compounded changes’. Your job Inland waters function as active biogeochemical reactors
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you enjoy working on interdisciplinary research that bridges energy modelling with climate science, hydrology, risk analysis, and integrated assessment? Join us as a PhD candidate. Your job The rapid
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advantage. Affinity with critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Experience in socio-ecological, and socio