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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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research group (CfAM) at the University of Nottingham. The student will work in world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, bio-printing
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manufacturing (CfAM) and advanced bio-printing (Additive BioFabrication Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with
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manufacturing (CfAM) and advanced bio-printing (Additive BioFabrication Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with
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electronically-active materials, including 0D and 2D nanomaterials. Advantages: This studentship will take place in world-leading research laboratories for additive manufacturing (CfAM) and advanced bio-printing
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-material additive manufacturing. This studentship will take place in world-leading research laboratories for additive manufacturing (CfAM) and advanced bio-printing (Additive BioFabrication Laboratory) and
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Applications are sought for a fully-funded 42 month PhD studentship to work with Dr Rachel Nicks and Prof Stephen Coombes on the project: White Matter Computation: Utilising axonal delays to sculpt
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amounts of data required for effective monitoring. This data-driven approach can result in high costs, increased computational demands, and logistical challenges in data storage and processing. A crucial
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degree which includes a substantial research element, with a score of 65% or above in the taught modules and 65% or above in the dissertation. Complete the PhD Programme online application . Your
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propulsion. Who we are looking for We are looking for enthusiastic, self-motivated applicants with first-class degree in electrical engineering, Aerospace Engineering or Computer Science with good electrical