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23 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Architecture » Design Architecture » Landscape architecture Environmental science » Global
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to what extent data poisoning attacks can influence the output of LLM models in security and safety critical infrastructure. 3. Perform the attack under different scenarios and model the impact. 4. Evaluate
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31 Jan 2026 Job Information Organisation/Company Wageningen University & Research Research Field Agricultural sciences » Agronomics Agricultural sciences » Phytotechny Researcher Profile First Stage
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30 Jan 2026 Job Information Organisation/Company NIOZ Royal Netherlands Institute for Sea Research Research Field Biological sciences » Other Chemistry » Biochemistry Environmental science » Earth
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approach that combines semantic material data, design-for-circularity, and hub logistics to scale high-quality reuse in regional infrastructure ecosystems (primary focus: Twente; validation: Brabant). Reuse
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24 Jan 2026 Job Information Organisation/Company Maastricht University (UM) Research Field Psychological sciences » Behavioural sciences Researcher Profile First Stage Researcher (R1) Application
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26 Jan 2026 Job Information Organisation/Company Erasmus MC (University Medical Center Rotterdam) Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) First
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
3 Mar 2026 Job Information Organisation/Company Wetsus - European centre of excellence for sustainable water technology Research Field Agricultural sciences » Soil science Technology » Biotechnology
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27 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Environmental science » Ecology Researcher Profile First
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will