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energy landscape. We are seeking an excellent candidate to join our team as a research assistant to provide research and support for this vibrant and highly productive academic department. We are seeking a
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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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handling, computational biology such as RNA sequencing and metabolomics and analysis of large datasets will be highly valued. The appointee will work directly with the Aburto Lab group. Our work focuses on
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