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simulations software such as COMSOL or CST. Characterize samples in the lab. Model experimental data from first principles using Matlab/Python codes. Write scientific publications, file patents, disseminate
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in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS, GDAL) and
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Distributed Fibre Optic Sensing - Solid analytical and problem-solving skills - Programming experience (e.g., Python, MATLAB) and experience operating on large datasets - Ability to work both independently
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PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
models, simulations, environmental databases, sensors, surveys, and interviews Experience in scientific programming, scripting, or workflow automation. Knowledge of Python or an equivalent language is
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background, and an outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field. You should be proficient in or willing to learn generative deep learning – in
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Engineering, Manufacturing Engineering, Materials Science, Computer Science, Data Science, Software Engineering, or a similar degree with an academic level equivalent to a two-year master's degree. We offer