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Field
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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analysis software, Basic GIS software) Positive attitude towards learning and doing research Ability to manage project-related administrative work Responsibilities: Prepare research reports including
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modeling (e.g., Rhino/Grasshopper, Phyton, Unity, Blender). Point cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Immersive simulation environments and interactive design tools. Experience
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the doctoral research: Computational design and 3D/4D modeling (e.g., Rhino/Grasshopper, Unity, Blender). Point cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Environmental data collection and
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cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Immersive simulation environments and interactive design tools. Experience coordinating interdisciplinary research projects. Experience in
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, Unity, Blender). Point cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Environmental data collection and analysis. Readiness to learn complementary skills, for example, environmental
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. Experience in the following areas from prior studies or work is a bonus: Statistical modelling, especially for multi-outcome data analysis, Executing computationally intensive code on HPC cluster, GIS and
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visualizations and dashboards Knowledge of GIS; Experience of working with large datasets; Experience of large language models; Experience of socially-engaged research. To be successful at shortlisting stage