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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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or Komagataella phaffii , FACS-based screens, next-generation sequencing, and handling of large datasets with e.g. Python or other high-level, general-purpose programming languages is beneficial. Excellent
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skills, preferably Python Knowledge of machine learning Willingness to work on a cross-disciplinary project. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted
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fibre-optic sensing technologies and structural health monitoring Skills in data processing and numerical tools such as MATLAB or Python A high level of motivation, intellectual curiosity, and the ability
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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
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communication, or related domains. Proficiency in programming (C/C++, python) is necessary for this position. It will be considered advantageous if you also have experience in mobile robotics, and/or machine
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learning, and control is essential. Applicants should also demonstrate: High academic achievement in relevant undergraduate and graduate courses Proficiency in programming (C/C++, Python) and experience with
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming