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properties of representative sediment classes. · Evaluate methods for predicting sediment type and physical properties from geophysical data using machine learning. · Assess the reliability
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and presents the opportunity to investigate semiconductors, composites, waveguides and resonators. The student will explore synthesis and fabrication strategies and develop methods for advanced optical
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a barrier to bionic vision to date, then develop advanced methods to talk to the brain. Our aim is to utilise this technology to restore sight to those blinded by diseases such as retinitis pigmentosa
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resonators. The student will explore synthesis and fabrication strategies and develop methods for advanced optical characterisation. The student will be provided training and access to advanced
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methods. Early detection and timely intervention of TLS will prevent organ dysfunction and mortality, improving patient outcomes and quality of life. Given the high healthcare costs associated with TLS
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here: https://events.teams.microsoft.com/event/376b2195-d8da-47c0-86e2-b18813ec19e3@4a5378f9-29f4-4d3e-be89-669d03ada9d8 . Number Of Awards 1 Start Date 1st October 2026 Award Duration 3.5 years
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materials to enable precise and reliable detection of key TLS-related biomarkers using robust, user-friendly electrochemical methods. Early detection and timely intervention of TLS will prevent organ
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Deadline 25 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and
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(Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete document as your Personal statement, and