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Field
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delivering presentations. In addition, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. Familiarity with
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, computer vision, and data analysis using industry-standard tools such as Python, MATLAB, and deep learning frameworks. The student will enhance their ability to manage complex, interdisciplinary research
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systems would be desirable. Basic programming skills in Matlab or a similar language would be desirable; willingness to learn these skills is essential. How to apply Interested applicants should contact Dr
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obtained and documented before starting the position, and no later than autumn 2026. You must have strong modelling and programing skills in software such as Matlab/Simulink, PSCAD, OPAL-RT, etc., relevant
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documented before starting the position and no later than autumn 2026. You must have advanced programming and modeling skills, preferably in Julia, Python, Matlab or similar programming languages. You must
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the following list: C, C++, Python, Matlab, Mathematica. Programming skills will be used to build experiment control systems, data analysis systems, and to perform numerical simulations of experiments. This is
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. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a team and independently. Ability to collaborate with industry and academic researchers. Fluent in spoken and
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equivalent. Specific knowledge of hydrology, urban water engineering, basic computer programming (e.g. Matlab or Python) and experience carrying out measurements of stream flow (or similar) are meritorious
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field measurements (e.g. related to soil–water processes or geophysical approaches), and basic computer programming skills (e.g. MATLAB or Python) are meritorious. Other important skills include
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skills experience with Matlab, Stata, R or Python; A high level of intellectual curiosity, analytical rigor, and a strong commitment to policy-relevant research. LanguagesENGLISHLevelExcellent Additional