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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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, 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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including details of all academic outputs and email information for 2 persons who may be contacted to provide a character reference (max 2 pages) Outline of the applicant’s proposed PhD research project
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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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of the country’s population speaks English fluently. More information about living and working in Finland can be found at For international staff | Aalto University . What we offer Completing a PhD at Aalto
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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