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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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areas. ● Strong computational/programming skills (Python/C/C++) including computational mechanics, and scientific machine learning. ● Excellent English communication skills (oral and written). We offer
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include complex process plants, where autonomous decisions directly affect safety, product quality and asset lifetime. WORK ENVIRONMENT EPFL is one of the most dynamic university campuses in Europe
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profile You have a master’s degree in computer science. You have experience with the humanitarian sector and/or in remote sensing. You are proficient in Python coding and deep learning frameworks. You are
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for historic urban environments exposed to earthquake risk. You will be working on the ZAGGREGATE project, a collaborative research initiative between EPFL, University of Zagreb, and other academic and
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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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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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
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, Python, GIS, image analysis or remote-sensing software is an asset • Self-motivated, independent and collaborative mindset, with a high level of rigor for academic research • Excellent
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than