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                Employer- Delft University of Technology (TU Delft)
- Wageningen University & Research
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- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); today published
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- Delft University of Technology (TU Delft); Delft
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- University of Amsterdam (UvA); yesterday published
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Delft University of Technology (TU Delft); Published today
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- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Erasmus University Rotterdam
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- Leiden University; today published
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- Maastricht University (UM); 27 Sep ’25 published
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- Wetsus - European centre of excellence for sustainable water technology
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                operational constraints and economic motivations across the value chain. To address these challenges, the project will develop multi-modal artificial intelligence methods to characterize metal scrap composition 
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                positions available (preferably starting also on February 1 2026, a little later is possible). The international network offers a cross-sectoral, multi-disciplinary research and doctoral training programme 
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                from abroad Wageningen University & Research is the university and research centre for life sciences. The themes we deal with are relevant to everyone around the world and Wageningen, therefore, has a 
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                this network we have two positions available (preferably starting also on February 1 2026, a little later is possible). The international network offers a cross-sectoral, multi-disciplinary research and doctoral 
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                disabilities Ability and willingness to work in a multi-disciplinary and multi-stakeholder environment Excellent research skills Excellent written and spoken English (fluency in Dutch is recommended but not 
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                interaction, and co-design research Personal or professional experience of working with people and communities living with disabilities Ability and willingness to work in a multi-disciplinary and multi 
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                rheology, fluid dynamics or bioprocess engineering, and a strong desire for multi-disciplinary work. The candidates should be fluent in written and spoken English, enjoy working within the interface between 
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                multi-data integration, such as of UAV-based radar data, which one of the other project partners will acquire. One focus area will be on the role of reinforcement learning, also linking to ongoing 
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                , chemical engineering, environmental engineering or biotechnology with a strong background in rheology, fluid dynamics or bioprocess engineering, and a strong desire for multi-disciplinary work 
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                and Explainable AI is a plus; Analytical and creative mindset, with the ability to work independently and in teams; Excellent command of English; willingness to work in an international, multi-sector