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and societal partners in migration and urban studies. A comprehensive training programme combining theoretical courses, advanced methods, and transferable skills. Joint supervision by leading academic
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1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers. PhD position 2 will focus on designing scalable
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qualitative fieldwork with two activist communities (to be determined collaboratively based on your background and interests). The tasks include: conducting theoretical and empirical research on the project’s
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neighborhoods, energy hubs, and communities. By integrating simulations, participatory methods, and co-creation with stakeholders, SYNERGY produces actionable knowledge, tools, and process interventions. It
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help shape what circularity can be? We’d love to meet you. What you do Develop a theoretically grounded empirical analysis of the regional circular transition, with a focus on diverse articulations
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with stakeholders, SYNERGY produces actionable knowledge, tools, and process interventions. It emphasizes energy justice by addressing inequalities in participation and access, and informs effective
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the various phases of silicon in various 3D stress configurations. A predictive model should properly account for the complex physics, damage and fracture. The loading conditions in contact and scratching
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12 Dec 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Physics » Quantum mechanics Researcher Profile First
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studies, develop sophisticated simulation models, and co-create practical tools with CCs through interactive workshops. Your research will transform theoretical governance principles into actionable
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procedure, including a short research proposal. Once you press the button to APPLY this list of 6 documents becomes visible, as well as a timeline of the application process. Main Supervisor: Prof. Dr. Peter