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healthcare innovation. The appointment is for three years, starting on December 15, 2025. In this project, the University of Twente is responsible for developing advanced AI models that integrate longitudinal
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in using AI technology in citizen-state interactions. How can we design fair algorithms, and how can we govern AI-related risks? The position is funded for a period of 18 months, preferably starting
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, you will tackle these challenges by conducting research on spectroscopy of color centers, with a focus on silicon and diamond hosts. Your will focus on device design and characterization, investigating
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Published Monday 27 Oct 2025 Deadline Monday 17 Nov 2025 Work area Research, development, innovation Organisational unit Rotterdam School of Management (RSM) Salary € 4.728 - € 6.433 Employment 1
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, circularity, and responsible sourcing. These developments do not only add risks — they fundamentally change how supply chains need to be designed and governed. The ReSolVe project (Resilient and Regulatory
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Two Postdoctoral Researchers in Cell Delivery-Based Beta Cell Replacement Therapy for Type 1 Diabete
Cybersecurity team, that operates at Maastricht University in Maastricht and at the Brightlands Smart Services Campus in Heerlen. Assistant/Associate Professor in Network Security Our goal: To drive innovation in
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an audiovisual context. You will be involved in designing, conducting, analysing and disseminating the research. The research will be conducted partly at the BSI lab and partly at patients’ homes, with facilities
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comply with expanding regulatory frameworks on emissions, circularity, and responsible sourcing. These developments do not only add risks — they fundamentally change how supply chains need to be designed
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the north-south climate gradient in Europe, and link your findings of vegetation patterns to potential future shifts driven by climate change. You will design and implement field trials to assess the effects
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from