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Vacancies PhD Position: Advancing Kinematic Couplings for Precision Alignment Applications Key takeaways The challenge This PhD research focuses on the advanced design and analysis of kinematic
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assess its performance, techno-economic feasibility, and environmental and social impact. The project aligns closely with the European Green Deal and supports strategic autonomy by fostering collaboration
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motivation. Please clearly outline how your background aligns with the required technical expertise. A transcript of your Diploma, courses taken, and grades achieved. Title and abstract of your Master’s
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Facilitate active dialogue with users and industry, and strategic feedback to the ecosystem to ensure external alignment of the ecosystem Support co-creation between interdisciplinary partners to develop
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logistics networks. The research will focus on addressing challenges like efficiency, sustainability, scalability, data sovereignty, and alignment of subsystems. 2. Machine Learning for Collaborative
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workstreams, and the PhD’s will be working along senior staff to perform tasks in different workstreams, in strong collaboration with multiple international partners and fellow PhDs from all over the world. Key
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; Supervising PhD candidates and postdoctoral researchers; Contributing to the development and coordination of our educational programs by teaching 2–3 courses aligned with your expertise; Supervising Bachelor’s
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across infrastructure networks, studying how infrastructure administrators handle uncertainty and complexity across multiple organisational levels when managing their infrastructure assets. The candidate
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combine multiple techniques, picking those that complement each other. In particular the use of non-destructive techniques is important, avoiding unintentional sample modifications. Although such “hybrid
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for the purpose of engaging a broader range of actors in critical reflection on future scenarios embedded in their local context. Your research methodology will be developed in the context of multiple research