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demonstrate good knowledge of mathematics, numerical modelling, fluid dynamics and signal processing and be a proficient user of a programming language, e.g. Python or Matlab. Main duties and responsibilities
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biomechanical computational model, and have some experience in scientific programming such as Python. You will join the group of Dr Xinshan Li, Professors Damien Lacroix and Enrico Dall’Ara, as part of
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Experience with the use of Finite Element Methods in modelling acoustic problems (assessed at: Application form/Interview) Essential Application and Interview Experience with Python or Matlab or any other
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such as SQL (Application / Interview) Expertise in data cleaning and linkage, with experience in the storage, extraction, manipulation of complex datasets in a programming language (R or Python) using
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of numerical methods for solving scattering problems and inverse problems (assessed at: application and interview) Proficiency in scientific programming languages, Julia or Python (assessed at: application and
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, RT3D, or Python-based tools) · Experimental design and field data analysis · Radionuclide geochemistry and contaminant hydrogeology · Numerical simulation of reactive transport systems
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-Guided Machine Learning. Essential Interview / Application / Test Strong software development skills (for example, in Python, MATLAB, C++, usage of HPC facilities) Essential Interview / Application / Test
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solid understanding of solid mechanics, continuum mechanics and material behaviour. Proficiency in programming (e.g., Python) and experience with numerical methods (e.g., FEM) are desirable. Familiarity
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the programming of data loggers. Essential Application Excellent data analysis and scientific programming skills, e.g. in MATLAB or python. Essential Application Experience of academic research in engineering
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at application/interview) Desirable criteria Knowledge of a programming language (Python, Javascript, C#, C++, etc.). (assessed at application/interview) Experience in Industry 4.0 technologies such as: IoT, cloud