22 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" PhD scholarships at Utrecht University
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the Department of Human Geography and Spatial Planning (max. 10% of the appointment). Where to apply Website https://www.academictransfer.com/en/jobs/358070/phd-the-urban-ocean-nexus-towar… Requirements Specific
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. Anna Zhelnina. The research team will consist of the principal investigator, a PhD candidate, and two post-doctoral researchers. Where to apply Website https://www.academictransfer.com/en/jobs/357476/phd
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of the department at Utrecht University. Where to apply Website https://www.academictransfer.com/en/jobs/357813/phd-position-in-nanoscale-rock-… Requirements Specific Requirements You must have completed an MSc
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brings together expertise on transition management and Science and Technology Studies (STS). The main goal is to further co-develop with the field hands-on methods to support the responsible, societally
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Technology, Science and Technology Studies (STS), or a closely related field; experience with qualitative research methods (e.g., interviews, ethnography, participatory research, co-design, discourse analysis
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and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute
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colleague who: holds a Master’s degree in mathematics or computer science; has a solid foundation in category theory; is familiar with dependent type theory; is enthusiastic about learning advanced category
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Social Science, or related field; has strong affinity with the study of families and economic inequality; has experience with both quantitative and qualitative research (or is motivated to learn both types