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proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios as well as a collaborative attitude for interdisciplinary work between computer scientists
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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. – knowledge of computer vision; knowledge of deep learning architectures; – Knowledge of C++, Python, Matlab; – Analog/digital circuits IC design capability; – Testing of electronic devices and systems; FPGA
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knowledge/experience in geospatial data processing (e.g. ArcGIS or similar open source) / database skills and programming/scripting capacity (e.g. R, Python) • Experience in developing Dashboards and
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, or a strong willingness to develop them during the project; experience with R, Python or bioinformatic workflows would be an advantage. Ability to work with human biological material, biobank resources
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-twin concepts, and programming (e.g. Python, MATLAB, LabVIEW or similar engineering software) B.4 Strong interest in metrology B.5 Experience in working with experimental setups, laboratory equipment