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Field
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(or capacity to develop understanding) in relevant field Good programming skills in a data processing and visualization language such as Python, MATLAB, R or NCL Experience with UNIX/LINUX and High
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Programming of experimental tasks and basic data analysis in R, Python, Matlab or similar Contributing to manuscripts for publication Assisting other colleagues in their research activities Main Duties Collect
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High-level analytical capability Ability to communicate complex information clearly Experience in COMSOL Multiphysics, Coventorware, Matlab and Python and Autodesk Fusion360 Experience of working with
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. Identify and Resolve Bottlenecks: Use analytical methods or simulation tools (e.g., MATLAB/Simulink, Aspen Plus, COMSOL, Python, etc.) to pinpoint the primary limitations on our system's efficiency and cycle
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of conducting high quality academic research. Experience of preparing academic papers. Confidence in using statistical software (e.g. R, JASP, MAtlab) for advanced data analyses. Experience in programming
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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
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or Abaqus (or willingness to learn) General knowledge of structural analysis and material behaviour, especially failure mechanisms Some experience with coding, ideally in Python or MATLAB Funding support This
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-field methods) Multiscale mechanics and microstructure-property relationships Python/C++/Matlab-based simulation and data analysis Industry-facing research and technology transfer You will also benefit
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and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
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will be an advantage if candidates have an interest in optimisation, control and computing systems, model checking, mathematical logic and good programming skills, ideally in MATLAB, Python and/or C/C