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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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and Civil Engineering PhD Research Project Directly Funded UK Students Dr Marco Colombo Application Deadline: 30 September 2025 Details Are you ready to push the boundaries of engineering innovation and
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This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
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short courses in the core subjects of this PhD programme including process intensification and green chemistry. This project is part of the Process Industries: Net Zero (PINZ) Centre for Doctoral training
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obtaining) a PhD in Chemistry, Materials Science, Engineering, Physics or relevant technical discipline. To perform the role, the applicants will additionally need to have excellent presentation, technical
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but not essential. A strong background in materials science and/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition
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Role type: Part-time (0.2 FTE); Fixed-term for 6 months Faculty: Faculty of Medicine, Dentistry and Health Sciences Department/School: Centre for Youth Mental Health Salary: Level A - $85,555 to
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implement a combination of metagenomic sequencing techniques to comprehensively characterise baseline levels of microbial pathogens in wastewater and surface water and compare our findings with data
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at the Department
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, breaking etc. This makes traditional methods particularly difficult to generalise based on all these driving factors, whereas this PhD project takes a novel and explainable data-driven approach – equation