31 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Hertie-School-•" positions at Utrecht University
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postdoctoral position funded by an ERC Consolidator Grant ‘SPARK’ awarded to Dr Lennart de Groot . Where to apply Website https://www.academictransfer.com/en/jobs/357812/postdoctoral-researcher-in-data
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Bachelor’s and Master’s levels (approximately 10-15% of your time). Where to apply Website https://www.academictransfer.com/en/jobs/357222/phd-position-in-ai-and-data-sci… Requirements Specific Requirements
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18 Nov 2025 Job Information Organisation/Company Utrecht University Research Field Biological sciences » Biodiversity Environmental science » Ecology Environmental science » Global change Researcher
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to language data and tools to support SSH research. To further integrate its technology components, CLARIN is looking for a Software Engineer. Your job You will participate in a motivated and inspiring group
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PhD Position in Explainable AI for High-Stake Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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jointly on publications in the field linking your expertise to the group’s focus; Coordinating data collection; Teaching Bachelor’s and Master’s degree courses in the curriculum of Interdisciplinary Social
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researcher, you will engage with students and staff to collect rich data, perform qualitative analyses, co-author open-access papers, and co-create a dilemma game – a reflective tool for teachers, support
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PhD Position on Parameterized and Fine-Grained Complexity of NP-Hard Problems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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-throughput phenotyping. You will develop novel methodologies, execute experiments, analyse data, and present your project results in the form of manuscripts and oral presentations. In addition to your research
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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