34 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "OSU" research jobs at University of Twente in Netherlands
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Vacancies EngD position: Standardizing Fieldwork and Data Management for Utility Mapping To vacancy overview Apply now ET EngD EngD position: Standardizing Fieldwork and Data Management for Utility
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Vacancies Doctoral Candidate Spatial statistics for integrating IoT field sensor data and remote sensing data for nature-inclusive solutions in tree crop diseases To vacancy overview Apply now ITC
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
Vacancies Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment To vacancy overview Apply now BMS PostDoc Postdoctoral researcher (17 months): Ethics
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CV and a motivation letter. For more info please visit our website: [https://www.utwente.nl/en/tnw/mm/] or contact the secretariat of the Department Molecules and Materials secretariat-molmat-tnw
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, computer or data science, or a related discipline (candidates close to graduating are encouraged to apply) A strong interest in ambulatory (psycho)physiological research, wearable technology and the
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and customer-side assets for UTOPYS Help build the model library at the heart of [UTOPYS](https://www.utwente.nl/en/about-us/news-events-ceremonies/news/2025/11/663582/nwo-grant-for-installation-of
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conversational agents; User modelling or computational modelling of engagement, curiosity, openness, or resistance; Knowledge graphs, ontologies, semantic technologies, or Linked Data; Cultural heritage
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Characterisation Develop data-driven processing methods to further automate detection and characterization of cables and pipelines in Ground Penetrating Radar data. The future of utility mapping. Reliable
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aiming to improve the understanding of the global carbon cycle and eventually improve the efficiency of agriculture. We are looking for a researcher who wants to work on the incoming mission data
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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction