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or similar technical discipline. Other qualifications in disciplines related to the PhD topic will also be considered. Knowledge & Experience Essential Good mastery of Python programming Strong
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mechanics and analysis Experience with the following: Structural health monitoring (SHM) Finite element modeling (e.g., ABAQUS, SAP2000, ANSYS) Machine learning / AI (Python, TensorFlow, PyTorch) Demonstrated
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programming skills in Python Experience with scientific Python tools such as pandas, scikit-learn, matplotlib, and Jupyter; experience with PyTorch is a plus Familiarity with microbiome data analysis
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. To request one of these identification systems, you must have a NIE or DNI. If you are a citizen of another European country, your application must be submitted through the following website: https
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background, with very good practical programming skills in Python; experience with other languages is a plus. Hands-on experience with metadata schemas and formats, semantic technologies, and knowledge graphs
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job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-09995. To apply, please upload a current CV
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | about 19 hours ago
(e.g., C/C++, Python, Fortran, Julia, Matlab) Good analytical skills Excellent written and communication skills in English Experience in particle-based methods or numerical optimization is a plus