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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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. The broad aim of the PhD research is to train the student with skills to investigate self-assemblies of lipids and biocides (cationic surfactants) and their cross-assembly processes, and identify how
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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-PHD@open.ac.uk Further details are available at: https://www.open.ac.uk/science/physical-science/phd-students/current-phd-studentships General information about studying for a research degree with the
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Programmes: MPhil/PhD English Literature MPhil/PhD English Language MPhil/PhD Modern and Applied Languages MPhil/PhD Creative Writing The School focuses on business information systems, project and operations
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design, manufacturing and end-of-life processes. New eco-circular design must adapt proactively for the capabilities and limitations in maintenance & End-of-Life lifecycle stages. Aim This PhD project will
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, manufacturing process dynamics, and uncertainty quantification. The interrelation of these three topic areas is increasingly important for future lightweight and sustainable composite structures. The ideal PhD
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– please include a statement against the criteria in your cover letter: Minimum entry requirements for PhD program (https://www.surrey.ac.uk/postgraduate/chemical-and-process-engineering-research-phd