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, visualisation and interpretation using coding (Python or Matlab) and learn to use a 1-dimensional ocean biogeochemical model. You will collaborate with the dynamic Rothera and POLOMINTS (http://polomints.ac.uk
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for the novel permanent magnet-assisted reluctance machine could help to improve existing control strategies. Real-time simulations Design control algorithms, vision, or plant models in MATLAB/SIMULINK Build a
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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/ . The group has been working on mmWave radar sensors in different applications, including automotive, indoor sensing, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart
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sustainable process. Assess the techno-economic impact of different alternative processes, from the traditional coal-based blast furnace to green steel production. Evaluate electrification and heat integration
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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background in, or willingness to learn, physics-based numerical modelling and programming skills, in Python (preferably), R, MATLAB, or a comparable language. Openness to collaborate within interdisciplinary
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, segmentation, and severity quantification. The performance of AI models will be assessed across different impact energies, materials, and boundary conditions. Cranfield University is uniquely positioned
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neuroscience institutes (ISC, SBRI, see LABEX CORTEX) provides many opportunities for discussions and training, including regular seminars and different journal and method clubs. English is the working language
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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk