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communication, and collaborative problem-solving capabilities, which are essential for success in innovation-driven environments. This training prepares graduates for impactful roles in semiconductor R&D
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the simulation results. This work builds on our previous research on crosslinking at the substrate/polymer interface: Suzanne Morsch, Yanwen Liu, Kieran Harris, Flor R. Siperstein, Claudio Di Lullo, Peter Visser
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of technical excellence, SLB has heavily invested in technology development, and is supported by an R&D spend that since 2015 has annually averaged more than US$800M. The company thus strives to be
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business datasets (e.g. ORBIS, Foreign Direct investment Data - UNCTAD) and appropriate experience with statistical software (e.g. Stata, R, Python). They will have a good understanding of, and interest in
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statistical and/or analytical software packages (e.g., SPSS, R, Tableau, Power BI, etc). How to apply Interested applicants should contact Dr. Stefan Birkett (s.birkett@mmu.ac.uk ) for an informal discussion
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Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application Deadline: 30 September 2025 Details Are you passionate about renewable energy and