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interfaces, reaction mechanisms, activity and selectivity develop reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software analyse electrochemical
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machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing systems, data collection for machine learning, wireless
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-economic forecasting Proficiency in scientific programming (preferably Julia, Python or Matlab) Competence in data analysis and probabilistic modelling techniques Experience with energy modelling
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, biostatistics, data science, computer science, bioinformatics or a closely related discipline strong programming skills in R or Python experience developing or applying methods to complex or large-scale
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applying AI or machine learning to scientific problems, with proficiency in Python or equivalent programming tools. experience in experimental design and validating computational predictions against
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R or python strong general IT skills, including familiarity with Linux/Unix environments and HPC systems experience in assisting with the supervision of students undertaking undergraduate or higher
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strong preference for MATLAB; experience in other scientific programming languages (e.g. Python, R) is also valued; familiarity with international macroeconomic and trade data sources, such as UN
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LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms
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. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is conditional upon the