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operation · Application of artificial intelligence or machine learning in energy or engineering systems 5. Strong programming and modelling skills using relevant tools such as Python, MATLAB
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; supervising student projects/practicals. · Demonstrable ability to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental
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for handling and analysing large and complex geophysical datasets, including programming skills in languages such as Python or Matlab. 10. Skills in description, analysis and dating of sediment cores. 11. Skills
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• Experience with super conducting microwave circuit design of fabrication • Experience of materials and/or device modelling software • Knowledge of Labview and/or Python software. How
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; supervising student projects/practicals. · Demonstrable ability to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental
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conferences and communicate complex information to specialists and within the wider academic community. Experience in developing engines and/or fuel cells models in GT-Power. Experience in using MATLAB/ Python
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: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment (e.g. Python, Fortran, Matlab, C
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and analysis using state-of-the-art data science languages (e.g., Python) as well as experience in programming languages such as Python, C and C++. Skills Demonstrable ability to present research papers
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. Experience in software/hardware programme and simulation, e.g., Python, preferably with experience in GNU-radio and Pixhawk 4. 8. Demonstrable ability to work cooperatively as part of a team, including