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plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the
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Are you interested in AI applications in flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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Will your multiphase models shape the energy transition? Job description The research programme CO2URAGE, funded by the Dutch funding organisation NWO in the framework of the Perspectief Programme
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. The research will focus on developing hybrid learning–control architectures that integrate model-based control and planning methods with data-driven learning approaches. Potential topics include safe
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Integrated optics is currently experiencing unprecedented growth, driven
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. The project builds on a recent work by the host group [Keijsers et al., Nature Photon. 19, 733 (2025)], where signatures of a phase transition were observed in the nonlinear response of a laser-driven optical
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regenerative capacity of liver tissue. Your work will involve the use of research animals to investigate cell-cell interactions during regenerative processes and to developed new in vitro organoid models. You
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decision-making. However, autonomous underwater manipulation presents challenges that remain difficult for purely data-driven methods, including safety-critical operation, uncertain environments, limited
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organisations, and energy sector partners. Are you passionate about marine ecology, ecosystem modelling, and the sustainability of offshore renewable energy? Within North Sea POWER, Naturalis offers a PhD