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sufficient specialist knowledge in energy systems or energy access, and its application to policy and/or economic analysis, and be proficient in Python programming, data analytics, energy systems modelling
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, with proven experience in software development. Proficiency in programming languages such as Python is essential, and experience working with high-performance computing or cloud-based environments is
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working understanding of statistical concepts and tools, including Mendelian randomisation, and expertise in one or more programming languages (for example bash, R, C, Python). Experience handling and
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, particularly in establishing and troubleshooting techniques is essential. You will also have experience using R and Python, and be proficient in bioinformatic tools for analysing high-dimensional datasets