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, Environmental Physics, Physical Geography, Urban Design, or a related field; Experience in atmospheric numerical modelling (e.g., RANS, LES) and scientific programming and GIS tools — or strong motivation
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. You will work alongside PhD candidates, postdocs, and students in a supportive environment where scientific curiosity is actively encouraged. We value open discussions, shared progress, and celebrating
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conditions. The team is young, interdisciplinary, and collaborative. You will work alongside PhD candidates, postdocs, and students in a supportive environment where scientific curiosity is actively encouraged
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work alongside PhD candidates, postdocs, and students in a supportive environment where scientific curiosity is actively encouraged. We value open discussions, shared progress, and celebrating scientific
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intelligent built environments, and analysis of behavioral and physiological data. The work also includes the development of personas, the use of LLM‑enhanced decision narratives, and agent-based social
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
of twelve PhD candidates and three postdocs from across the Faculty of Aerospace Engineering, collaborating closely with experts at NLR and the Ministry of Infrastructure and Water Management to analyse
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, and scenario analysis; Experience with programming and/or data analysis (e.g. Python, R, MATLAB, GIS); Excellent written and spoken English skills; Ability to work both independently and collaboratively
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
scholarships and some postdoc positions. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above Apply
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addition to doctoral students, bridge fellowships for outstanding Master’s graduates and exploratory research grants for postdocs are regularly offered. All three groups of researchers form the interdisciplinary
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doctoral education in the interdisciplinary field of geoinformatics. GI (geoinformation) is a powerful economic factor: around 80% of all decisions in society are said to have a spatial component, due to