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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
programming languages and software platforms relevant to Digital Twin development (e.g., Python, MATLAB, Revit, Unity, or IoT frameworks). Excellent written and verbal communication skills in English. The terms
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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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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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. Build and maintain modular simulation tools (e.g. MATLAB, Aspen Plus, COMSOL, or custom Python models) to support techno-economic and performance assessments. Core skills: 3–7 years experience in process
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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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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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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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). - 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
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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