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operating conditions. The research staff will develop, simulate, and test controller logic using MATLAB/Simulink or similar environments, analyse performance across diverse scenarios, and document results
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craft using MATLAB/Simulink. Model key onboard components including battery energy storage, power converters, propulsion motors, and ship service loads. Simulate propulsion and propeller load behaviour
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of ecological or environmental datasets and proficiency in coding environments such as R / Python / Matlab; track record of peer reviewed publications. Have experience analysing AUV, BRUV or other marine video
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data analysis on Matlab. • Developing and using models to characterise the soft robots (both sensor and actuator). • Knowledge of programming (C/C++/python/MATLAB), using a prototyping board like Arduino
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programming skills in at least one of the following (Python, MATLAB, Julia). Please ensure you read the Job Description and Person Specification for full details of this role, by clicking the 'Apply' button
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. You will need excellent programming skills (e.g. Python, MATLAB), and a solid understanding of grid codes, standards, and flexibility modelling. Strong communication skills, the ability to work both
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theory, market structures, game theory, and programming skills (e.g. Python, MATLAB), alongside a deep understanding of policy and market issues related to local energy communities in the UK and EU. We
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, numerical analysis, particle technology and pharmaceutical engineering and software packages (e.g., BIOVIA Materials Studio, ANSYS CFD and MATLAB) for modelling of particulate systems (such as crystallisation
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programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques e.g. machine-learning techniques, statistics
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised