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spatial distributions of active phases across multiple length scales. The PhD student will collaborate with international partners to study the evolution of crystalline and amorphous domains in the hybrid
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions for the quantum-classical control and readout
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validation of assays, development, and reporting of automated assays with appropriate throughput for the projects are important. Raw data is reported to web-based databases. You will actively participate in
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conceptualize structures by fostering automation, efficiency, and creativity in early-stage design. The PhD will be conducted within NTNU’s Conceptual Structural Design Group (CSDG), offering opportunities
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student community spans multiple cohorts, each at different stages of their PhD journey, creating a rich, collaborative atmosphere. Funding Details Additional Funding Information Awards for both UK
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience