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scientific research independently Basic knowledge of scientific programming Data handling skills Good interpersonal skills, team player Good knowlege of English (written and spoken) We offer A dynamic
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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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include: Strong programming skills, preferably in Python and/or R, with experience building reproducible data-analysis workflows. Excellent quantitative and statistical reasoning, including a clear
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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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engineering, data engineering, engineer in physics with strong software skills or a related field, or equivalent practical experience. Strong Python programming skills and experience developing and
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analysis and proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to the candidate’s career stage; The ability to
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research; Experience with quantitative data analysis and proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to
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. Technical Skills Proficiency in remote sensing (satellite image processing, GIS, photogrammetry); Programming skills for geospatial analysis: Python (rasterio, geopandas, scikit-learn) or R
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mathematics, computational neuroscience, robotics, physics or a closely related field; Strong publication record in relevant venues; Solid programming skills in Python and a modern deep-learning framework
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interest in sustainability transitions and/or urban systems tipping dynamics. Good knowledge of computational modelling and programming. Experience with Python and agent-based modelling is particularly