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highly advantageous: Scientific programming in Python or MATLAB Probabilistic methods, Bayesian inference, or stochastic modelling Structural mechanics, material modelling, or multi-physics simulation Data
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: Scientific programming in Python or MATLAB Structural mechanics, reliability analysis, or probabilistic modelling Data analytics, SHM/SCADA data interpretation, or digital-twin technologies Wind energy systems
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must be able communicate fluently in English and have preferably a B2 level of German or French. Basic programming skills (e.g., Python and/or Matlab) are expected. Your workplace and main supervisor (Dr
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statistics of mean and extreme wind events over the Baltic Sea region. Tellus A, 67, 29073. https://doi.org/10.3402/tellusa.v67.29073 Björkqvist, J.-V., Lukas, I., Alari, V., van Vledder, P.G., Hulst, S
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program at UPM and in the time of the contract will be registered for the TFG. The applicant's academic record, knowledge of electronic devices , software and Matlab/Python programming will be taken
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wind energy systems. In particular, experience in one or more of the following areas will be considered highly beneficial: Scientific programming in Python or MATLAB Structural mechanics, reliability
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dynamic and diverse experience across various finance areas. Responsibilities include statistical analysis, data scraping, and literature reviews, using tools like Stata, MATLAB, Python, and R. Ideal
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of advanced wind turbine components. Experience in one or more of the following areas will be considered highly advantageous: Scientific programming in Python or MATLAB Probabilistic methods, Bayesian inference
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). - Integration of behavior with imaging/optogenetics in mice. - Development of custom behavioral tasks and closed‑loop experimental designs. - Proficiency in basic data analysis in Python or MATLAB (more advanced
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of machine learning/deep learning (e.g., classification, feature learning, neural networks). Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge