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interpreting Next Generation Sequencing (NGS) and genomic data. Experience with shell scripting (Bash), and at least one high-level programming language (Python or R) is essential. A sound knowledge of soil
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such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
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such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
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have experience of compressible-flow rig design, CD CAD, and the ability to work across systems integration topics, along with programming in one or more of: Python, Matlab, C, C++, FORTRAN, LabVIEW. You
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: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion
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programming (e.g. Python, R, MATLAB or similar), data analysis or experimental research are encouraged to apply; however, we equally value potential, creativity and a thoughtful approach to problem-solving. We
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candidate would have experience with computational modelling and control of dynamical systems. Other useful skills include scientific programming (e.g., Python or Matlab), control system design, and
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monitoring. Familiarity with tools such as Python, MATLAB, or embedded C would be advantageous. Most importantly, this project is ideal for applicants who are motivated to tackle real-world reliability
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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