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: MatLab and Python. Editing scientific texts: LATEX. Numerical calculation software: ANSYS or similar. Specific Requirements Knowledge: Numerical methods applied in engineering. onstruction and
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. Knowledge 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
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materials will also be appreciated. Advanced knowledge in scientific programming (e.g. Python, Matlab) is also required. LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelGood Research FieldEngineering
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) - email : antoine.berthet@centralesupelec.fr – web : https://scholar.google.com/citations?user=jxMJvuUAAAAJ&hl=en Bibliography: [1] J. Federici and L. Moeller, “Review of terahertz and subterahertz
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usual scripting and analysis tools (e.g., Python, Mathematica, Matlab). Other Valued Skills First hand direct experience in the micro/nanofabrication of magnetic tunnel junction nanodevices is highly
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for hands-on experimental characterization techniques and data analysis. Skills in programming (e.g., Python, MATLAB) and simulation tools. Expertise in photonic integration is not a must, but having relevant
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disciplines. You will need strong written and verbal communication skills in English Good skills in programming (e.g. Matlab, Python, C/C++) *for students with an education earned outside of Sweden, a 4-year
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. Experience in one or more scientific computing languages (Julia, Python, Matlab, etc) You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd) Good oral
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efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python
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of imaging, genomics, transcriptomics and proteomics data, as well as statistical analyses of biological data and any other types of analyses that might arise. Most of these will be Python-based, but