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health factors. Background: Fertility is a global-level multifaceted health problem where infertility and birth control are pressing concerns. WHO figures indicate that 1 in 6 people globally suffer from
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other glycans, they are not built against a defined template, and yet their structure is non-random, with specific motifs within the glycan chains defining binding sites for critical signalling and
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or joining thin-wall Titanium and Nickel alloys at high temperatures. Due to the unique material behaviours of these sheets and foils (0.1 mm to 0.5 mm thick), controlling variables in the forming process is
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, high vacuum apparatus and instrumentation, charged particle manipulation and detection systems, signal processing and scientific programming, quantum chemical calculations and molecular dynamics
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new family of solid-state Additive Manufacturing technologies, such as Cold spray. The nature of the process utilising low heat input and severe plastic deformation, produces ultra-refined
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with transferable expertise applicable across AI-driven domains. Application Process To apply, please send a CV, cover letter, and transcripts to Dr Christopher Wood (christopher.wood@nottingham.ac.uk
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration within interdisciplinary research teams. Application Process: To apply
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explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers the opportunity for the PhD student to lead the development of innovative simulation tools
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supercritical water systems to generate samples that will help optimise a process that will then be scaled into pilot and large scale pilot systems with partners in the consortium. Aim This project will focus