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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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reputation. Experience working with sequence data, programming in python or similar language (e.g. R), and a strong interest in infectious disease epidemiology are essential for the post. For appointment