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- Delft University of Technology (TU Delft)
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Field
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solutions for problems both local and global. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related
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models and data science ideas. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related to urban science
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-disciplinary team with many stakeholders. In addition you have: An MSc and PhD in Geosciences, Environmental Science or Engineering, with a focus on Soil Physics, Geotechnical Engineering, or Geophysics; You
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this role, you will require: A PhD degree in the field of transportation engineering, applied mathematics, operation research, computer science, or a closely related field (or close to obtaining one) / or a
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Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data
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a candidate with: A PhD degree in Hydraulic Engineering, Marine Engineering, Earth system Science or related discipline. Experience with physical (wave) modelling is required. Being available at short
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education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal
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Geosciences The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport
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Section of the Mechanical and Production Engineering Department. The group currently consists of 3 PhD students. Our focus is to develop new algorithms that allow to discover interpretable and accurate
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Section of the Mechanical and Production Engineering Department. The group currently consists of 3 PhD students. Our focus is to develop new algorithms that allow to discover interpretable and accurate