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If you want to pursue a research career at the intersection of additive manufacturing (AM), microstructural engineering and advanced statistical/machine-learning (ML) based modelling, then this PhD
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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of skills, and have the opportunity to explore interests in polymer synthesis, assay development, immunology, and statistics. Specifically, the work will involve: Organic synthesis Assaying polymers
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, data sciences, applied mathematics, statistics, operations research, control, electrical engineering, energy systems, cyber security, or related fields Knowledge of privacy-preserving mechanisms
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biology, pharmacology and/or immunology. Experience in statistical bioinformatics, including developing analysis pipelines and applying programming (R/Python) to genomic/transcriptomic data. Strong written