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incompletely understood, partly due to the lack of physiologically relevant experimental models. This project aims to develop an advanced multicellular organ-on-chip platform that recapitulates the structural
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challenging, and skills quickly become outdated due to fast-developing technologies (AI, XR, robots). Currently, most Smart Industry companies lack human capital and knowledge to achieve their maximum potential
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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 We are seeking a motivated PhD candidate to develop innovative visual
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development of future wastewater systems by translating these insights into a practical decision‑support tool. Particularly, you will: Develop an assessment framework based on literature and stakeholder
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, limiting user understanding, contestability, and trust. In this PhD position, you will contribute to the development of a transparent AI system to support behavioural change in nutrition. You will integrate
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telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency Impact: Better design to enhance telecom and urban performance Job
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? Do you like studying physical systems with wide impact in society? Then, this PhD position is ideal for you! Information This PhD project aims to develop advanced fluid models for low-temperature
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participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is
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optimally for future challenges. This PhD position is part of the SecReSy4You MSCA Doctoral Network, which focuses on developing next-generation methods for security and resilience of cyber-physical systems
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and democratic participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal