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. Knowledge of structural dynamics and experimental testing. Motivation for hands-on laboratory work and independent research. Desirable: Experience with CAD/FEA (Abaqus/ANSYS), MATLAB/Simulink, wind tunnel
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Proven record of ability to conduct high quality research in relevant health related subject Previous coding experience (e.g. python, bash, matlab) Good administrative skills, and the ability to organise
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: The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related scientific disciplines. Skills in numerical tools and programming are desirable (MATLAB
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data analysis pipelines using ImageJ, R, MATLAB and relevant programming languages. Plan, troubleshoot and optimise experiments, maintain meticulous records, and prepare data, manuscripts and grant
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*ideal candidate* is expected to have: - Very good experience in programming in Python or Matlab and data analysis (essential) - Research experience (essential, e.g., through research MPhil/Master’s degree
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solar deployment and contribute to the future co location of solar and wind arrays. The studentship offers full training in experimental methods, data analysis (MATLAB), CFD, offshore renewable energy
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Experience with MATLAB/Simulink, including Control System Toolbox, System Identification Toolbox, or Deep Learning Toolbox. Understanding of battery systems, electrochemical energy storage, or battery
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related quantitative subject. Essential/important: Evidence of strong quantitative skills and interest in computational modelling. Basic programming/scripting ability (e.g., Python, MATLAB, Julia, C/C
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with experimental research, data analysis, or programming (e.g. MATLAB, Python, or similar) is desirable but not essential. An essential requirement is enthusiasm to study the processes involved in human
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of