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on integrating data science, AI, and GIS with transportation engineering to create sustainable and efficient urban mobility systems. With a strong emphasis on data-driven decision-making, EcoTran Lab is
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and behaviours in public spaces, nature-connectedness and health in cities, and mobility and health in cities. Candidates should possess a strong interest in applying a human lens to transdisciplinary
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bond formation between R181C and C353 of Gi protein and collaborate closely with experimental partners in WP1-3 to interpret findings in the context of human behavioral data, mouse models, and cell
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needs JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 15th March 2026 Languages English English English PhD Research Fellow in
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, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use of GIS, spatial statistics, or other spatially relevant methods