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capable of breakthroughs. The research will mix state of the art numerical skills with analytic understanding. Your task is to predict new classes of materials that have not been considered before, beyond
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experience and ambitions We are looking for a highly motivated candidate with strong analytical skills and a clear interest in energy systems, mathematical modelling, sustainability, and energy economics
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, important academic theories/debates, research hypotheses/questions, research methods, work plan, data sources, and analytical approaches (max 3 pages) Summary of the applicant’s master’s dissertation (max 1
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Material science research themes. The role will include designing and standardizing analytical pipelines, quantitative biodegradation assays to validate material-microbe interactions, and tracking polymer
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. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by