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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running
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transient absorption spectroscopy. Proficiency in ultrafast laser pulse compression, including pulse characterisation techniques like FROG and autocorrelation. Good coding skills (e.g. Python, MATLAB, LabView
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programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
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. Proven expertise in microgrid modeling and controls in Matlab/Simulink or similar Demonstrated publication record Proven communication, time management, and teamwork skills This project is funded by
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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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, bioinformatics, or computational biology. Proficiency in programming and scripting languages (e.g., Python, R, Matlab). Experience with data processing, large-scale genomic and neuroimaging data, and statistical
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minimum of one year eligibility remaining. • Self-motivated and able to work independently and collaboratively • Strong communication skills • Proficiency in R, Python, or MATLAB • Familiarity with
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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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. Strong programming skills, preferably in Fortran, C/C++, or Python. Competency in visualizing and analyzing large-scale climate datasets using software tools like Matlab, IDL, Ferret, Python, or R. Merit
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dynamic processes using differential equations, integrals, probability functions, and applied statistics. Therefore, having experience using more than one of the following languages is crucial: Matlab