34 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Anglia-Ruskin-University" positions at Utrecht University
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development. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring
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deadline: 18 January 2026 Apply now Within the RegioDeal Foodvalley (RDFV-II) programme, you will contribute to advanced analyses of air quality monitoring data, emission modelling and scenario studies
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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for
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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for
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professional development. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and
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hybrid (symbolic and sub-symbolic) AI approaches to help users formulate and translate natural language questions into structured representations that can be linked to geospatial data sources and workflows
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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for
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and professional development. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in executing their leading
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PhD Position on Requirements Engineering and Spec-Driven Development Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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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