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this ambition. The ideal candidate will have a strong background in energy modelling, industrial energy use, or a related field, along with proficiency in relevant computational tools (e.g., Python
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and machine learning tools (e.g., Python, R, TensorFlow, or equivalent). Understanding of data protection and regulatory frameworks governing healthcare data. Strong communication and stakeholder
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management and teamwork skills. 3. Strong data analysis and visualisation skills using suitable software (R, Python etc.). 4. Effective oral and written communication skills. DESIRABLE (but not
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. The candidate should have several years of demonstrated programming experience, preferably post PhD, in relevant programming languages such as Python, scripting languages (Javascript, Typescript), and
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-reviewed journals and top-tier conferences relevant to the research domain. Proficiency in Python or other relevant programming languages (e.g., R, Julia, C++), with experience in software development
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, or equivalent. Experience of longitudinal data analysis. Experience in using appropriate programming language and software (for example, SPSS, Stratus, R, Python) Experience with using survey software (e.g