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Field
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ready to challenge and develop yourself in a cross-sector collaboration with infrastructure providers and societal partners? Then the PhD position on ’Shared Pathways for Cross-Sectoral Long-Term
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Shape Optimisation This project focuses on embedding state-of-the-art LLMs into the set-up stage of generative shape-optimisation algorithms. The aim is to learn more expressive design-variable encodings
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specialist collaborator to guarantee adequate integration of perception and action; advanced motion-planning and control algorithms, continuously refined via robotic digital twins, enable reliable handling
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Shape Optimisation This project focuses on embedding state-of-the-art LLMs into the set-up stage of generative shape-optimisation algorithms. The aim is to learn more expressive design-variable encodings
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setting builds on knowledge and theories at the intersection of innovation studies, construction management, and public management with many opportunities to collaborate with other research fields related
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mapping them onto phylogenetic trees Collaborating with a multidisciplinary team of biomechanists, ecologists, and entomologists Publishing your findings in peer-reviewed journals and presenting
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resilience-informed design platforms. Furthermore, REUNATECH promotes transdisciplinary collaboration via multi-stakeholder platforms, bridging academia, industry, and policy. Through its holistic, digital
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geospatial data on fisheries activities near OWFs to evaluate the distributional impacts of OWFs across different fleet segments; conducting fieldwork and surveys in collaboration with ‘NO REGRETS’ partners
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of infrastructure governance and modelling. You will learn to conduct research independently and grow scientifically through collaboration with researchers from Radboud University, University of Groningen, and
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include: Conducting innovative research and developing proof-of-concept designs, collaborating with sensor providers and other potential collaborators; Writing multiple research articles, collectively