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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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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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-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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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
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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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of particulate processes using appropriate software packages such as gProms, EDEM software, Python, Matlab. Write up own research and contribute to the production of research reports and publications in order to
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Science, or a related field with a strong focus on techniques relevant to digital twinning. [assessed at application] Proven experience in python programming and code development. [assessed at interview
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academia. The candidate should have a good knowledge of particle physics and experience programming in Python or C++. Early applications are recommended, with the deadline for the first round of