463 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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Programme, which seeks to transform the UK’s capabilities to improve understanding of mechanisms and health outcomes, using respiratory and allergic disorders as exemplar domains. We seek to enrol the most
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approaches validated by industry partners – ensuring AI systems are accurate, transparent, and aligned with stakeholder needs. Your research will help shape next-generation AI tools that enable trustworthy
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scientists. This PhD studentship is the foundational computational element (WP1) proposed for a major 8-year project ("The Self-Driving Microscope”). The project’s goal is to build an autonomous, AI-piloted X
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energy. However, the composition and application of assist gases, critical to these processes, have seen little innovation, limiting efficiency and sustainability. This PhD will advance laser processing by
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Instrumentation and Environmental Control Systems (AID, ECS): A full-scale Boeing 737-400 aircraft equipped with instrumentation for studying environmental control systems and other onboard systems, providing a
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computational lung modelling. Working with our proprietary respiratory system model, you will generate large-scale, high-quality virtual airflow and acoustic datasets. You will then develop and train state
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apply a broad range of research methods including advanced statistical methods, computational modelling and experimental design, with the aim of generating policy-relevant evidence. The student will work
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Closing date: 27 February 2026 For further information please email Professor Chris Gerada (University of Nottingham) and Dan Walton (MTC). Facilities The MTC is an independent Research and Technology
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Supervisors: Professor Wayne Hayes and Dr James Cooper Project Overview: This University of Reading funded studentship targets the discovery of dynamic biocompatible supramolecular polymer networks
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