116 data "https:" "https:" "https:" "https:" "https:" "https:" research jobs in Netherlands
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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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in outreach activities, all generally but not exclusively related to your research topic. You are encouraged to visit the ESA website at https://www.esa.int/ Field(s) of activity/research for the
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 2 months ago
high demand. You will be supervised by Dr Gabriele Liga ( https://www.tue.nl/en/research/researchers/gabriele-liga ) and Dr Yunus Can Gültekin at TU/e. You will carry out two research secondments: one
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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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at the forefront of GeoAI and question answering research. You will contribute primarily to three areas: data, implementation, and infrastructure with user studies. Data You will work closely with PhD
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research assistant to independently operate our reproducible data and reporting pipeline, maintain our website and shared research infrastructure, and turn meetings and decisions into reliable follow-through
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October 2026 Apply now Do you want to use artificial intelligence, geospatial data science, and urban analytics to create healthier and more equitable cities? Are you excited about developing innovative
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genome data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated microbiomes
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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