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                Employer- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Erasmus University Rotterdam
- European Space Agency
- University of Groningen
- Utrecht University
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); today published
- KNAW
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); 26 Sep ’25 published
- Wageningen University & Research
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                Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description AI-enabled polymer monitoring via multi-sensor intelligent non 
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                ) multi-omics analysis for the identification of therapeutic targets (biomarkers or druggable targets). The candidate will also develop and implement AI-driven tools to predict disease prognosis and 
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                7 Oct 2025 Job Information Organisation/Company Erasmus MC (University Medical Center Rotterdam) Research Field Biological sciences » Biological engineering Biological sciences » Biology Computer 
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                for biological imaging in general. The position is part of the Netherlands BioImaging Infrastructure (http://eurobioimaging.nl ) which is a nation‐wide multi‐sited facility that enables breakthrough in cell/life 
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                leave with a 40 hour contract, 8% holiday pay and an 8.3% end-of-year bonus, and a significant discount on a subscription for our on-campus sports centre Opens external ! - Sustainable, inclusive and 
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                be done through literature review, stakeholder input, and an iterative Delphi process (a consensus-building method among experts). You will be part of the Policy Analysis Section within the Multi-Actor 
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                can focus on learning for planning, risk-aware motion planning under uncertainty, learning of interaction models, multi-robot learning, multi-modal prediction models, or other related topics 
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                -building method among experts). You will be part of the Policy Analysis Section within the Multi-Actor Systems (MAS) Department of the Faculty of Technology, Policy and Management. Our team includes around 
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                interdisciplinary research at the intersection of academia, policy, and practice. Excellent communication and project-management skills, including experience coordinating multi-partner projects and maintaining 
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                applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC) incorporating mineralized SCMs. The research will focus on: Modeling long-term